Find your next AI Engineering role

Decagon is seeking an Agent Development Manager to join their Agent Development Team. This role will be responsible for building and scaling the function that develops world-class AI Agents for customers. The manager will own the strategy and execution for deploying Decagon across complex enterprise environments, ensuring smooth, impactful agent builds that lay the groundwork for long-term customer success. This includes designing and owning the agent development playbook, creating repeatable and scalable frameworks and processes, and continuously improving delivery through AI tools, automation, and operational design to boost efficiency and reduce time to value. The role requires close partnership with customer teams to understand workflows and goals, and cross-functional collaboration with Sales, Product, and Engineering to translate needs into successful agent builds, guiding complex rollouts and ensuring measurable impact.

Decagon is seeking a Field Engineer to own the technical scoping and implementation of complex requirements for enterprise prospects and customers. In this dynamic, cross-functional role, you will serve as the technical expert and trusted advisor, proving technical feasibility and potentially carrying work through to production. You will build intricate integrations, configure and optimize AI agents for production environments, and collaborate with Solutions Engineers, Product, and Engineering teams to develop necessary features. Your responsibilities will include establishing technical credibility with stakeholders across various organizational levels and driving the technical win for critical enterprise opportunities.

Mistral AI

Mistral AI is seeking an Evaluation Engineer to join our customer-facing Applied AI team. This role is crucial for ensuring our AI solutions are production-ready by designing methodologies, building infrastructure, and defining evaluation standards across various industries and use cases. You will bridge the gap between research and customer needs, creating evaluation frameworks that measure LLM performance in real-world scenarios, moving beyond standard benchmarks to address domain-specific risks and requirements. This position offers a unique opportunity to impact the deployment of cutting-edge AI by directly contributing to its measurable success for enterprise clients.

Decagon is seeking an Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers. You will own the hands-on implementation work, from systems design and scoping through to production deployment, ensuring agents perform reliably at scale. This is a highly technical, customer-facing position where you will translate customer requirements into build plans, interface with senior technical stakeholders, and drive the delivery of AI agents that significantly impact business outcomes. You will also collaborate closely with internal teams to create feedback loops, surface platform gaps, and influence the evolution of Decagon's agent-building platform based on real customer needs.

$175k - $230k

Fireworks is seeking a Security Engineer to play a key role in designing, implementing, and operating security controls across AI infrastructure, AI platforms, and internal systems. This role is crucial for strengthening our security posture and supporting rapid growth, ensuring the confidentiality, integrity, and availability of data, models, and infrastructure as organizations increasingly rely on large language models and cloud-native AI services. You will be instrumental in building trust by embedding security across all layers of our technology stack.

AI needs a new infrastructure layer, and Modal is building it. We provide instant GPU access, sub-second container starts, and native storage, enabling customers to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. As a rapidly growing cloud infrastructure company, we are seeking to dramatically improve our platform's reliability while scaling our team and customer base. This role is ideal for individuals with deep systems thinking, a passion for reliability, and a drive to enable others to move faster at scale.

LangChain is seeking a Deployed Engineer to join their team, focusing on building and running AI agents in production. This role involves working on complex applied AI systems that real teams depend on, with a fast feedback loop and visible impact. You will collaborate with customer engineering teams to co-architect and co-build production AI agents, own the technical win in pre-sales by designing POCs and answering technical questions, and help customers deploy and operate agent-based applications. You will also advise customers on architecture and best practices, run technical demos and trainings, and contribute reusable patterns and code. This position offers the opportunity to directly shape how AI agents are built and adopted in the real world.

Inworld is a research lab building top-ranked real-time voice models used in large consumer-facing AI applications. Our work spans research and development of state-of-the-art models, optimizing real-time inference, and creating best-in-class APIs and products. We are looking for strong individuals from varied backgrounds who learn fast, thrive in ambiguity, and can demonstrate their built, broken, and understood work. We value researchers who can clarify ambiguous problems, design experiments to find answers, and treat evaluation as a critical research product. Impact is prioritized, though sharing work that advances the field is supported.

Inworld is seeking a pioneering North America GTM Lead to join our team and expand our sales presence. This role involves managing key prospects and customers, translating complex needs into scalable solutions, and shaping the initial customer experience. You will build trust and technical credibility by collaborating with product, engineering, and growth teams to drive deals from start to finish, ensuring seamless adoption and long-term customer impact. Your contributions will be foundational to our Go-To-Market strategy, uncovering new market opportunities and influencing how Inworld scales its solutions across various industries.

$150k - $200k

Decagon is seeking a Senior Solutions Engineer to join their team. This foundational technical role will influence the future of AI-powered enterprise solutions. You will act as a technical advisor and trusted consultant to enterprise prospects and customers, focusing on value-based solutioning and integrating Decagon's AI-native platform into complex customer ecosystems. This position blends pre-sales engineering, product strategy, and enterprise architecture.

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

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

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

Mistral AI

Mistral AI is seeking an IFRS Specialist to play a key role in the company's transition to IFRS. This position will involve applying technical expertise, ensuring compliance with IFRS standards, and collaborating with auditors and cross-functional teams. The specialist will analyze complex transactions, maintain accounting policies, and support the implementation of scalable financial processes for global entities. This is an opportunity for an IFRS expert to tackle technical challenges and gain exposure to high-impact projects in a fast-growing environment.

Mistral AI

Mistral AI is seeking passionate and skilled backend software engineers to join our new team in NYC. As a Backend Engineer, you will contribute to the development of core systems powering our AI platform, including AI Studio, Le Chat, and Mistral Code. Your work will shape how millions of users and developers interact with our AI platform at scale, focusing on building reliable, high-performance backend systems and APIs. This role directly impacts the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff levels who are eager to learn, collaborate, and ship impactful products.

Harvey

As an Enterprise Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships.

Perplexity is seeking a Search Machine Learning Engineer Intern to contribute to the development of next-generation search technologies, with a specific emphasis on retrieval and ranking. Interns will collaborate with seasoned engineers to enhance search quality, explore novel models, and implement features that directly influence user search and information discovery experiences. This internship program offers a duration of 12-24 weeks, operating on a full-time or part-time basis, and requires in-person attendance at our Belgrade office.

$12k - $24k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower users to control their intelligence and shape the future of AI. As a Member of Technical Staff - Safety, you will be instrumental in ensuring the safety and reliability of our AI models. This role involves owning the red-teaming and adversarial evaluation pipeline, translating safety findings into concrete guardrails, and validating that every release meets our risk thresholds before deployment. You will develop scalable, automated safety benchmarks and research state-of-the-art jailbreaking techniques and defenses to proactively address potential vulnerabilities.

Cohere

Cohere is seeking a Site Reliability Engineer to join the Model Serving team. This role is crucial for developing, deploying, and operating the AI platform that delivers Cohere's large language models via API endpoints. You will work closely with various teams to deploy optimized NLP models into production environments, ensuring low latency, high throughput, and high availability. The position also offers the opportunity to interact with customers and create customized deployments to meet their specific needs, contributing to the widespread adoption of AI.

Cohere

Cohere is seeking Members of Technical Staff to join the Model Serving team. This role focuses on developing, deploying, and operating the AI platform that delivers Cohere's large language models via API endpoints. You will work closely with various teams to deploy optimized NLP models into production environments, ensuring low latency, high throughput, and high availability. The position also offers the opportunity to interact with customers and build customized deployments to meet their specific needs.

OpenAI

We are seeking dedicated, experienced, and deeply curious individuals to join our User Operations team as AI Support Engineers. In this role, you will work directly with customers to troubleshoot and resolve complex technical issues, providing end-to-end ownership through debugging, analysis, and expert guidance. You will become a trusted expert on OpenAI's products and platform, serving as a critical escalation point and a line of defense for customers operating at massive scale. Beyond resolving technical issues, you will help define world-class support in an AGI-driven future, partnering closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience by leveraging automation and AI technology.

Replit

This Principal Product Engineering role focuses on Replit's Money Infrastructure, the financial systems that manage how Replit earns money, how builders earn money, and how Agents transact. You will be at the intersection of engineering, product, and business, building systems that directly impact revenue, trust, and critical user journeys. The ideal candidate will design and scale reliable financial systems, translating complex monetary logic into user-friendly experiences, and has a passion for monetizing innovation and contributing to the company's pricing strategy.

Synthesia is seeking a Principal Backend Engineer to focus on backend issues across all engineering teams, aiming to improve stability and standardize practices. This role involves owning projects that span quarters, requiring iterative delivery and validation. The engineer will evaluate their own work using data pipelines and frameworks to understand commercial impact and pivot as needed. A key aspect of the role is considering the long-term direction of engineering, anticipating future challenges, and developing capabilities to stay ahead. The engineer will work end-to-end, from the client application to the monolithic backend, and lead cross-team projects.

$12k - $18k

Synthesia is seeking a Staff Research Engineer to join their R&D Department, focusing on cutting-edge challenges in Generative AI, specifically avatar-centric interactive video diffusion models. This role offers the chance to work on applied research that directly impacts solutions used by thousands of businesses worldwide. You will be instrumental in shaping the future of AI video agents capable of human-like thinking, acting, and reacting. The team operates in a fast-paced environment, iterating frequently and building impactful models that ship to production.

Synthesia is seeking a Research Engineer to join their Data team, which manages the entire data lifecycle for researchers, from sourcing and processing to delivering datasets that power their AI models. This role sits at the intersection of applied research, data engineering, and ML infrastructure. You will be instrumental in building a world-class human-centric data lake by collaborating with model training teams, understanding their needs, and extracting new features and annotations to enhance datasets. The ideal candidate is passionate about improving model performance through high-quality data and will have the opportunity to enhance existing infrastructure and influence the team's long-term strategy.

Modal is seeking an experienced Forward Deployed Engineer (FDE) to partner with our sales team and drive technical sales success. As an FDE, you will be the technical voice in our sales process, working directly with Account Executives to help enterprise customers understand how Modal can transform their AI/ML infrastructure. You will partner with Account Executives to identify, qualify, and close strategic enterprise opportunities, lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements, and design and present compelling technical solutions that demonstrate how Modal addresses customer needs. You will also architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform, conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities, and navigate complex technical evaluations and address security, compliance, and integration concerns. Additionally, you will build trusted advisor relationships with technical decision-makers, collaborate with product and engineering teams to communicate customer feedback and influence product roadmap, and support contract negotiations by providing technical expertise.

AI needs a new infrastructure layer, and we're building it at Modal. Our serverless platform provides instant GPU access, sub-second container starts, and native storage, enabling customers to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are seeking experienced engineers to design, build, and maintain these novel, high-performance systems.

AI needs a new infrastructure layer, and we're building it at Modal. Our customers, including category-defining companies, rely on Modal for instant GPU access, sub-second container starts, and native storage to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are seeking strong backend engineers passionate about building developer tools used by the largest AI companies globally. You will be instrumental in developing solutions for large-scale operations and evolving AI workflows.

Cartesia is seeking an Enterprise Engineer to help build real-time multimodal intelligence by delivering agentic voice AI solutions to customers. This role involves architecting and building enterprise-grade systems, owning the design and delivery of platform capabilities shaped by customer needs, and transforming recurring patterns from deployments into scalable platform primitives. The ideal candidate will define and improve reliability, security, and operational maturity across the company's enterprise offerings, playing a key role in scaling Cartesia's solutions in demanding enterprise environments.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. As a member of the Data Team, you will ensure the data used to train our models meets high standards for quality, reliability, and impact. You will work closely with world-class researchers on pre-training teams to translate abstract notions of "good data" into measurable standards for large-scale data campaigns. This role requires a blend of strong engineering fundamentals and a deep curiosity about data quality's influence on model performance.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. As a member of the Data Team, you will ensure the data used to train and evaluate our models meets high standards for quality, reliability, and impact. You will work closely with world-class researchers on post-training teams to translate abstract notions of "good data" into concrete, measurable standards that scale across large data campaigns. This role requires engineers who combine strong engineering fundamentals with a deep curiosity about data quality and its impact on model behavior.

LangChain is seeking a Senior Backend Engineer to join the LangSmith team, which focuses on building the core platform for observability, evaluation, and production reliability of AI systems. In this role, you will be responsible for developing the backend systems that power LangChain's observability and evals platform, enabling developers to monitor and evaluate their AI applications at scale. While the primary focus is on backend development, experience with full-stack or frontend engineering, performance tuning, and debugging production issues will be highly beneficial.

$175k - $240k

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will be responsible for bringing Sierra's AI agents to life for customers, guiding them from initial pilot phases to production-ready agents handling significant volumes of conversations. This role sits at the intersection of product development, agent building, and customer engagement, requiring a deep understanding of both the technology and the user's needs. You will transform complex customer challenges into effective AI agents that deliver measurable business impact.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are a primarily in-person company based in San Francisco, with growing offices globally. Our Security Engineering team builds the foundational systems that allow Sierra to deliver powerful AI agents while protecting customer data and trust. We collaborate across product and platform teams to ensure security, privacy, and safety are core product capabilities and secure defaults.

Baseten is seeking Software Engineers to join their team in a specialized, high-impact role at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. This position involves not only building automated performance monitoring and diagnostic tools for next-generation AI infrastructure but also defining the roadmap, driving key technical decisions, and taking full ownership of the future direction of this work. The role offers the opportunity to shape the platform that engineers use to deploy cutting-edge AI models into production.

OpenAI

We are seeking Software Engineers passionate about integrating production-ready platform architecture with cutting-edge technologies and new paradigms. You will advance OpenAI's newest technologies to create interactions and automations that are both functional and delightful. We are looking for proactive, customer-centric engineers who can establish foundational details like data models, architecture, and security to enable exceptional products. This role involves owning the complete development lifecycle for new platform capabilities and system integrations, collaborating with a diverse team of engineers, data scientists, and architects to understand and solve complex problems, and working closely with product and research teams to provide feedback and iterate on model applications.

Rogo is seeking a Staff Security Engineer to lead the design and implementation of cloud security architecture across AWS and GCP. This is a hands-on role for an engineer experienced in building and operating secure cloud platforms at scale, using code, systems design, and automation to solve security challenges. You will own the technical direction of cloud security, focusing on secure primitives, large-scale Terraform authoring, identity and network architecture, and embedding security into the core platform. The role requires a senior technical leader who is also tactical, writing production code, reviewing infrastructure changes, and providing pragmatic security solutions.

Modal is building the next generation of AI infrastructure, enabling engineers to run AI workloads without the usual complexities. We are seeking an exceptional individual to join our Talent team as the first dedicated GTM recruiter. In this role, you will own end-to-end recruiting for sales, Go-To-Market (GTM), and other General & Administrative (G&A) searches. You will collaborate closely with the Head of Talent, founders, and GTM leaders to define our hiring strategies and attract the talent that will shape Modal's future.

OpenAI

As an Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.

Replit

Replit is seeking a highly technical, data-driven Growth Engineer to help scale its product and expand key user metrics across acquisition, activation, retention, and monetization. This role sits at the intersection of engineering, product, and marketing, leveraging code, experimentation, and analytics to uncover opportunities and deliver measurable impact. The ideal candidate will drive experimentation and optimization by designing, implementing, and analyzing A/B and multivariate tests, and identify bottlenecks in user funnels to improve conversion rates. They will also build and scale growth-oriented product features like onboarding flows and referral systems, ensuring scalable code and infrastructure. Collaboration with data teams for tracking, dashboards, and user behavior analysis, along with leveraging SQL and analytics tools, is crucial. The role involves close partnership with product managers, designers, marketers, and data scientists to align on growth goals and translate business objectives into technical requirements.