Find your next AI Engineering role
154+ open roles · 22+ companies hiring
154 open positions
Enterprise AI adoption lead (West)
Writer
WRITER is seeking an Enterprise AI Adoption Lead to drive deployment and activation success for a portfolio of enterprise clients. This role involves deeply understanding customer business objectives and building programs, communities, and frameworks to translate AI investments into measurable outcomes. You will partner with Transformation Leads to identify optimal WRITER capabilities for specific use cases and execute strategies that foster significant adoption, including building champion networks, running workshops, and advising on scaling AI programs. The ideal candidate possesses a proactive, builder's mindset focused on creating the conditions for customer engagement and success.
Strategic AI adoption lead (East)
Writer
WRITER is seeking a customer success professional to lead deployment and activation for a portfolio of clients. This role involves deeply understanding customer business objectives and building programs, communities, and frameworks to drive measurable outcomes from AI investments. You will partner with a Transformation Lead to identify relevant WRITER capabilities for specific use cases and then design and execute strategies to foster significant adoption. This includes building champion networks, running workshops, and advising customers on scaling their AI programs. The ideal candidate possesses a proactive, builder's mindset, creating the conditions for customer engagement rather than waiting for it.
Senior Product Engineer, Product Foundry
Replit
Replit is seeking a Senior Product Engineer for its Product Foundry team. This team is responsible for driving industry disruption and achieving 10x scale by launching high-risk, full-stack initiatives that create new product categories. The Product Foundry acts as Replit's internal innovation engine, aiming to transform Replit into the foundational operating system for the next generation of software, where AI Agents are the primary actors. The role involves building for creators and enterprises, equipping them with tools to build anything, anywhere, and operates within a high-agency founding team model with autonomous squads focused on rapid iteration and market validation.
Senior Software Engineer, Agents
Harvey
Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a unique opportunity to build a generational company at an inflection point, scaling rapidly and defining a new category. The team operates with intensity, ownership, and a commitment to the mission, valuing decisiveness, simplicity, and continuous improvement. If you are driven to do the best work of your career alongside like-minded individuals, Harvey is the place to be.
$193k - $290k
Strategic AI adoption lead (UK)
Writer
WRITER is seeking a customer success professional to lead deployment and activation for a portfolio of clients. This role involves deeply understanding customer business objectives and building programs, communities, and frameworks to achieve measurable outcomes through AI adoption. You will partner with a Transformation Lead to identify relevant WRITER capabilities and design strategies that drive adoption, including building champion networks, running workshops, and advising on scaling AI programs. The ideal candidate possesses a proactive, builder's mindset focused on creating conditions for customer engagement and success.
Enterprise AI adoption lead (UK)
Writer
WRITER is seeking a customer success professional to lead deployment and activation for a portfolio of enterprise clients. In this role, you will deeply integrate into customer organizations to understand their business goals and develop programs, communities, and frameworks that translate AI investments into tangible results. You will collaborate with a Transformation Lead to identify optimal WRITER capabilities for specific use cases and then implement strategies to drive adoption, including building champion networks, conducting workshops, and advising on scaling AI programs.
Strategic AI adoption lead (Central)
Writer
WRITER is seeking a customer success professional to lead deployment and activation for a portfolio of clients. This role involves deeply understanding customer business objectives and building programs, communities, and frameworks to drive measurable outcomes from AI investments. You will partner with a Transformation lead to identify suitable WRITER capabilities for various use cases and then design and execute strategies to foster significant adoption. This includes building champion networks, conducting workshops, and advising clients on scaling their AI programs. The ideal candidate possesses a proactive, builder's mindset, creating the conditions for customer engagement rather than waiting for it.
Enterprise AI adoption lead (East)
Writer
WRITER is seeking a customer success professional to lead deployment and activation for a portfolio of enterprise clients. This role involves deeply understanding customer business objectives and building programs, communities, and frameworks to drive measurable outcomes from AI investments. You will partner with a Transformation Lead to identify suitable WRITER capabilities for various use cases and design strategies to foster significant adoption, including building champion networks, conducting workshops, and advising on scaling AI programs. The ideal candidate possesses a proactive, builder's mindset focused on creating conditions for customer engagement and success.
Enterprise AI transformation lead (UK)
Writer
WRITER is seeking a visionary and execution-oriented AI Transformation Lead to partner with their most strategic Fortune 100 accounts. This role goes beyond software implementation, focusing on helping large organizations fundamentally rethink their operations through AI. You will bridge business strategy and cutting-edge technology, translating the WRITER platform's capabilities into measurable P&L impact and guiding executives in adopting an AI-first operating model. This is a unique opportunity to shape the future of enterprise AI transformation, influencing WRITER's product roadmap and defining how global brands leverage AI to enhance human capacity.
$50k - $100k
Staff Software Engineer - Developer Experience (DevEx)
Harvey
The Developer Experience team is crucial for maintaining Harvey's rapid growth by building the CI/CD systems, internal frameworks, and platform-level guardrails that enable all engineers to ship AI features quickly and safely. As a Software Engineer on this team, you will create systems to maximize the velocity and efficiency of every engineer at Harvey. You will work across the tech stack, collaborating with teams to instill reliability, automation, and simplicity into developer workflows. This role offers a unique opportunity to apply AI directly to developer productivity, shaping the future of software development within an AI-native company. If you are passionate about building foundational platforms that empower engineers to move fast with confidence, we encourage you to apply.
Solutions Architect - Public Sector
Cohere
Cohere is seeking a Solutions Architect to play a significant role in growing the company's Defence and National Security business. This dynamic role requires a blend of strategic thinking and hands-on execution, focusing on building customer demos and proof-of-concepts that highlight the business value of Cohere's AI platform. As the technical relationship owner, you will collaborate with stakeholders to understand their objectives and translate them into technical solutions. You will also serve as the voice of the customer, liaising between clients and the product team, providing guidance on best practices, identifying platform improvements, and cultivating technical champions within customer organizations to drive adoption and gather feedback.
$265k - $315k
Product Manager, Agent Harness & Modelling
Cohere
Cohere is seeking an Agent Harness Product Manager to own the execution layer that makes North agents reliable, capable, and production-ready. This role sits at the intersection of agent loop and execution, context engineering, and model-scaffolding co-evolution. You will define how North agents plan and act across long, multi-step workflows, ensuring the execution environment is robust for demanding enterprise tasks. You are expected to engage at the implementation level, contributing to architecture decisions alongside engineering. You will also own how agents manage the context window as a deliberately controlled resource, including progressive disclosure of tools, context compaction, and offloading large payloads. Furthermore, you will own the feedback loop between North's harness and the Modeling Team, ensuring harness design decisions are validated by Modeling and that the model evolves with the harness.
Research Scientist, Multimodal Alignment, Safety, and Fairness
Google DeepMind
Google DeepMind's Frontier AI unit is seeking experienced Research Scientists to join a multimodal safety research effort. This role focuses on interdisciplinary sociotechnical modeling and requires a passion for understanding AI-society interactions, a strong awareness of AI alignment and safety, and a drive to develop novel ideas, methods, interfaces, and tools. You will contribute to advancing the state of the art in AI research and Google DeepMind's mission towards Artificial General Intelligence (AGI), with a focus on leading new breakthrough research directions in areas like AI behavior exploration, assessment, and steering, particularly for subjective and creative tasks. The work involves tackling fundamental research questions to improve alignment objectives, assess adherence to desired behaviors, and enable AI agents to monitor real-world social context and evolve system behaviors over long time-horizons. You will develop new paradigms for human+AI rating that are adaptive and context-aware, driving breakthroughs within Google DeepMind, Google products, and the broader AI alignment community.
Senior Software Engineer, Agent Infrastructure
Cohere
Cohere is seeking a Senior Software Engineer to join their Agent Infrastructure team. This role is at the forefront of building the next generation of agentic AI infrastructure, blending ML systems, distributed infrastructure, and developer experience. You will tackle complex, forward-looking challenges in areas such as secure code execution, agent state management, model routing, and resource management for autonomous AI agents at scale. The ideal candidate possesses deep systems knowledge combined with ML intuition, enabling them to build reliable infrastructure and navigate distributed systems tradeoffs while understanding how emerging agentic capabilities influence platform design.
Enterprise AI transformation lead (West)
Writer
WRITER is seeking a visionary and execution-oriented AI Transformation Lead to partner with strategic Fortune 100 accounts. This role goes beyond software implementation, focusing on helping large organizations fundamentally rethink their operations through AI. You will bridge business strategy and cutting-edge technology, translating the WRITER platform's capabilities into measurable P&L impact and guiding executives in adopting an AI-first operating model. This is a unique opportunity to shape the future of enterprise AI transformation, driving C-suite leaders from experimentation to full-scale value realization and influencing WRITER's product roadmap.
$50k - $100k
Product Manager, Safety & Security
Cohere
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! About Cohere and North Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models with customizable integrations to drive productivity and innovation at scale. Role Overview We are seeking a Safety Research PM to bridge Cohere's AI safety research and the North product. This role sits at the intersection of model research and product delivery — you'll work directly with Cohere's modeling and safety research teams to understand how our models behave, where they fall short, and how those insights translate into concrete safety features and guardrails within North. This isn't a traditional PM role. You'll spend as much time reading evaluations and engaging with researchers as you will writing PRDs. The right person is intellectually curious, comfortable with ambiguity, and has the technical depth to engage seriously with model behavior research while also having the product instincts to know what to do with it. Responsibilities - Serve as the product bridge between Cohere's safety research teams and North, ensuring that findings from model evaluations, red-teaming, and behavioral research translate into product-level guardrails, controls, and safeguards. - Own the safety product roadmap for Cohere and North, prioritizing features based on research findings, observed misuse patterns, evolving threat vectors, and customer requirements. - Partner with modeling teams to scope and interpret safety evaluations — understanding how Cohere’s underlying models behave across adversarial inputs, edge cases, and high-stakes use cases. - Define and drive evaluation frameworks for assessing how safety properties hold up as models and product capabilities evolve, ensuring regressions surface before they reach customers. - Coordinate the development of guardrails and intervention mechanisms — working across research, engineering, and policy to determine where and how safety controls should be implemented within North's product layer. - Monitor the AI safety research landscape — from prompt injection and jailbreaks to emerging misuse patterns in agentic systems — and ensure North's roadmap reflects what the research is surfacing. - Build processes for scaling safety review as North's surface area grows, including how new features get assessed for safety risk before launch. Requirements - 5+ years of product management or research operations experience, with meaningful time working alongside research or ML teams at a technology or AI company. - Technical depth sufficient to engage credibly with safety researchers: you don't need to run evals yourself, but you need to understand what they mean and ask the right questions. - Genuine interest in AI safety and model behavior, including the real-world implications of deploying LLMs in enterprise contexts. - Comfortable operating in ambiguity — safety research surfaces unexpected findings, and this role requires good judgment about what to act on and how fast. - Able to work across researchers, engineers, and product teams and keep everyone aligned without flattening the nuance of what the research is actually saying. - Strong written communicator who can translate complex model behavior findings for non-technical audiences and knows when something needs to be escalated urgently. Nice-to-Haves - Hands-on experience with LLM evaluation, red-teaming, safety benchmarking, or behavioral research. - Familiarity with AI-specific threat vectors: prompt injection, jailbreaks, RAG poisoning, or misuse patterns in agentic systems. - Background in trust and safety, content policy, or a research-adjacent operational role at a technology company. - Experience building zero-to-one processes in research or safety contexts. - Prior exposure to agentic AI systems and the unique safety challenges introduced by tool use, multi-step reasoning, and autonomous execution. Why Join Cohere? - Impact: Shape how one of the most widely deployed enterprise AI platforms thinks about and implements safety at the product level. - Innovation: Work directly alongside safety researchers and modeling teams at the frontier of AI behavior research. - Growth: Competitive compensation, equity options, and opportunities for professional development. - Flexibility: Hybrid work model with offices in San Francisco, New York, and Toronto. Location Remote or hybrid (New York, Toronto, London, Paris, Zurich). Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Forward Deployed Engineer, Agentic Platform
Cohere
Cohere is seeking a Forward Deployed Engineer for its Agentic Platform team. This role acts as a bridge between Cohere's North AI workspace platform and enterprise clients, focusing on solving complex problems and securely integrating AI into critical sectors. The engineer will be responsible for the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from prototype to production, ensuring reliability, observability, safety, and auditability. This position involves working directly with customers on real-world business problems, often building novel agent workflows that integrate LLMs with tools, APIs, and data sources.
$20k - $40k
Forward Deployed Engineer, Agentic Platform
Cohere
Cohere is seeking a Forward Deployed Engineer for its Agentic Platform team. This role acts as a crucial bridge between Cohere's North AI workspace platform and enterprise clients' engineering teams. You will be instrumental in solving complex problems and securely integrating AI into critical sectors by owning the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs). The work involves transforming ambiguous business problems into well-defined AI agent workflows, ensuring reliability, observability, safety, and auditability from the outset, and delivering concrete business value in enterprise environments.
$20k - $40k
Strategic AI transformation lead (East)
Writer
WRITER is seeking a visionary and execution-oriented AI Transformation Lead to partner with strategic Fortune 100 accounts. This role goes beyond software implementation, focusing on helping large organizations fundamentally rethink their operations through AI. You will bridge business strategy and cutting-edge technology, translating the WRITER platform's capabilities into measurable P&L impact and guiding executives in adopting an AI-first operating model. This is a unique opportunity to shape the future of enterprise AI transformation, influencing product roadmaps and defining how global brands leverage AI to enhance human capacity.
$50k - $100k
Senior Software Engineer, Agents
Harvey
Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a unique opportunity to build a generational company at an inflection point, scaling rapidly and defining a new category. The team operates with intensity, ownership, and a commitment to the mission, valuing decisiveness, simplicity, and continuous improvement. If you are driven to do the best work of your career alongside like-minded individuals, Harvey is the place to be.
$193k - $290k
Forward Deployed Engineer, Agentic Platform (Korea)
Cohere
Cohere is seeking senior software engineers with Applied AI experience to join their team as Forward Deployed Engineers for the Agentic Platform in Korea. This role involves bridging Cohere's North AI workspace platform with client engineering teams, focusing on solving complex problems and securely integrating AI into critical sectors. You will be responsible for the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from prototypes to production-grade AI agents, delivering tangible business value. This position requires working closely with customers on real-world business problems, often building novel agent workflows that integrate LLMs with tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability from the outset.
$20k - $40k
Senior Software Engineer, Replit Cloud
Replit
Replit is seeking an engineer to join the Replit Cloud organization, focusing on the development of Replit Agent. This team builds Replit's first-party cloud infrastructure, managing essential services like databases, application storage, hosting, and development environments. Your work will be crucial in powering one of Replit's key product differentiators by ensuring seamless integration of these services, enabling users to build, scale, and succeed entirely on the Replit platform.
Staff Software Engineer, Replit Cloud
Replit
Replit is seeking a Staff Software Engineer to lead the development of Replit Agent, a groundbreaking AI coding agent that empowers anyone to build applications using natural language. As a technical leader within the Replit Cloud organization, you will be instrumental in building and scaling Replit's first-party cloud infrastructure, which supports millions of users worldwide. This role involves taking new products from conception to launch, iterating on core cloud services, and solving complex technical challenges to enhance user experience and product differentiation. You will collaborate closely with product and design teams, mentor engineers, and contribute to the full-stack development of Replit's platform.
Software Engineer, Security
Cohere
Cohere is seeking a Senior Software Engineer with a focus on security to join their North team. This role involves owning and shipping production security features for AI agents, rather than just reviewing them. You will play a key part in building and securing the North architecture, contributing to the core development of security features and ensuring AI agents are secure by design.
Staff Product Manager, New Verticals
Harvey
Harvey is seeking a Product Manager, New Verticals to define, build, and scale AI agent-powered solutions for strategic customers. This role involves deep customer discovery, sales collaboration, complex workflow mapping, and leveraging AI/LLM capabilities for successful deployments. You will work closely with key accounts to understand their highest-value use cases, translate them into agent-powered solutions, and partner with engineering and research teams to bring them to life. The goal is to drive repeatability by transforming bespoke deployments into scalable products, pricing models, and commercial frameworks for entire verticals.
$215k - $300k
Staff Software Engineer, Developer Experience
Harvey
Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview The Developer Experience team is what keeps Harvey’s fast growth momentum possible — the kind of fast where every week brings new products, new capabilities, and new challenges. We build the CI/CD systems, internal frameworks, and platform-level guardrails that enable all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on the Developer Experience team, you will be responsible for creating frameworks and systems that maximize the velocity and efficiency of every engineer at Harvey. You’ll work across the entire tech stack and collaborate with every team to instill reliability, automation, and simplicity into our developer workflows. You'll also have a unique opportunity to apply AI directly to the problem of developer productivity, defining the future of software development within an AI-native company. If you are passionate about building foundational platforms to enable other engineers to move fast with confidence, we’d love to hear from you. What You’ll Do - Develop and scale a world-class developer platform to accelerate Harvey's hyper growth. Boost velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments.. - Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications. - Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle. - Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform, ensuring services built on our foundation are robust, easy to test and maintain. - Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality — empowering every Harvey engineer to move fast with confidence. - Set the strategic direction and roadmap for scaling developer experience as Harvey expands, and contribute strategically to team decision-making. - Provide strong technical leadership and mentorship, upholding a high bar for engineering excellence across the team. What You Have - 7+ years of software engineering experience, including building scalable backend systems or internal developer platforms. - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals and distributed systems. - Hands-on experience with CI/CD systems (Builtekite, Github Actions), test frameworks, or load and performance testing. - Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform). - A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability. - Proven technical leadership throughout the entire project lifecycle, including ideation, design, implementation, and productionization. - Experience mentoring engineers, guiding architectural decisions, and shaping culture to foster engineering excellence. - Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive - Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback. - Experience integrating AI agents into a developer ecosystem is a strong plus. Compensation Range $238,000 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]
$238k - $290k
Senior Software Engineer, Developer Experience
Harvey
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is on the Developer Experience team, which is crucial for maintaining Harvey's rapid growth by building CI/CD systems, internal frameworks, and platform-level guardrails. The team enables all Harvey engineers to ship ambitious AI features rapidly and safely. As a Software Engineer on this team, you will create frameworks and systems to maximize the velocity and efficiency of every engineer at Harvey, working across the entire tech stack. You will also have a unique opportunity to apply AI directly to developer productivity, shaping the future of software development within an AI-native company.
$175k - $250k
Senior Software Engineer, Security Agents
Cohere
Cohere is seeking a Senior Software Engineer to join the North Security team and build AI agents that revolutionize enterprise security. This role involves creating autonomous systems to handle complex security tasks, empowering security teams with intelligent systems. You will be instrumental in developing cutting-edge AI solutions for real-world business problems, contributing to the widespread adoption of AI.
Forward Deployed Engineer, Agentic Platform (Singapore)
Cohere
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated. In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
$20k - $40k
Forward Deployed Engineer, Agentic Platform (West Coast)
Cohere
Cohere is seeking Software Engineers with Applied AI experience to join their Agentic Platform team. This role involves bridging the gap between Cohere's North AI workspace platform and client engineering teams, focusing on solving complex problems and securely integrating AI into critical sectors. You will be responsible for the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), transforming prototypes into production-grade AI agents that deliver tangible business value. This position requires close collaboration with customers to address real-world business challenges, often building novel agent workflows that integrate LLMs with various tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability from the outset.
$20k - $40k
Forward Deployed Engineer, Infrastructure Specialist (Europe/Middle East)
Cohere
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking engineers to join our team and contribute to the widespread adoption of AI. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications, acting as a bridge between our core North product and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors like finance, healthcare, and telecommunications, working with esteemed clients and focusing on Agentic AI.
Data Scientist, Product
Replit
Replit is seeking a Data Scientist, Product to join their team and redefine how software is built. This role will focus on understanding user behavior and translating those insights into actionable strategies to drive product growth, improve user activation and retention, and contribute to revenue growth across self-serve and enterprise segments. The ideal candidate is a fast-paced, deep-diving data scientist who can quickly generate accurate analyses, rigorously test hypotheses, and leverage AI tools to enhance productivity while maintaining high standards for output quality. You will be instrumental in shaping product strategy and ensuring the success of Replit's mission to make programming accessible and AI-powered.
Software Engineering Intern (Summer 2026)
Replit
Join Replit's engineering team for a 12-week paid internship where you'll work alongside world-class engineers, designers, and product managers to build the future of software creation. You'll contribute to real features that impact millions of developers worldwide, from our AI-powered development environment to the infrastructure that makes lightning-fast collaboration possible. This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe.
Forward Deployed Engineer, Infrastructure Specialist (North America)
Cohere
Cohere is a leading enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking engineers to join our team and contribute to the widespread adoption of AI. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications, acting as a bridge between our core North product and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors.
Frequently asked questions
What counts as an AI Engineering job?
AI Job Board lists engineering roles that build, deploy, or operate AI/ML systems — including LLM engineering, RAG (retrieval-augmented generation), AI agents, prompt engineering, AI infrastructure and MLOps, model serving/inference, and fine-tuning. It excludes non-engineering functions like AI sales or marketing roles.
What is the difference between an AI Engineer and a Machine Learning Engineer?
An AI Engineer typically builds applications on top of existing models — LLM integration, RAG pipelines, agent orchestration, and prompt design. A Machine Learning Engineer more often trains, fine-tunes, or productionizes custom models. Many companies use the titles interchangeably, so search both when browsing.
Does AI Job Board include AI infrastructure and MLOps roles?
Yes. Titles such as AI Infrastructure Engineer, ML Platform Engineer, GPU Infrastructure Engineer, Inference Engineer, MLOps Engineer, and AI Site Reliability Engineer are all covered — these roles focus on the systems that serve and scale AI models rather than building models themselves.
Are remote AI and ML jobs available?
Yes. Filter by "Remote" on the jobs page to see fully remote AI/ML engineering roles, or browse the remote jobs feed directly.
What skills are most in demand for AI engineering roles?
The most commonly requested skills are LLM APIs (OpenAI, Anthropic, Gemini), RAG and vector databases (Pinecone, Weaviate, Qdrant), agent frameworks (LangGraph, CrewAI, AutoGen), inference/serving tools (vLLM, Ray Serve, TensorRT-LLM), and fine-tuning. Use the skill filters on the jobs page to browse by specific technology.
How fresh are the job listings?
Listings are sourced continuously from company career pages and refreshed automatically. Each job shows when it was posted, and the sitemap and API expose last-updated timestamps for every posting.
How much do AI Engineers get paid?
Compensation varies widely by role, seniority, and location. Where employers disclose a salary range, it is shown directly on the job listing — filter by salary range on the jobs page to narrow results to your target compensation.