Find your next AI Engineering role

2502+ open roles · 71+ companies hiring

2502 open positions

AI Deployment Strategist - Luxembourg

11mo ago
Mistral AI

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This position is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Luxembourg hybrid Full-time
MistralPythonJavaScript +5 more

Data Scientist, Financial Engineering

11mo ago
OpenAI

OpenAI

As a Data Scientist on the Financial Engineering (FinEng) team, you will own the analytics and experimentation that drive improvements in our checkout, payments, subscriptions, and pricing & monetization systems. You will be responsible for defining key metrics, building reliable data assets, and designing experiments to boost conversion rates, reduce churn and payment failures, and expand global payment method coverage. Your work will have a direct impact on revenue, customer experience, and international scaling efforts.

San Francisco onsite FullTime
OpenAIPythonGo +1 more

Data Scientist, Codex

11mo ago
OpenAI

OpenAI

Codex is OpenAI’s first-party developer product focused on agentic software engineering, building tools to help engineers design, write, test, and ship code faster, safely, and at scale. As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software.

San Francisco onsite FullTime
OpenAIPythonSQL +1 more

Data Scientist, Platform and B2B Products

11mo ago
OpenAI

OpenAI

OpenAI's Platform team is responsible for powering how millions of developers and enterprises build with our models, providing APIs and agentic solutions. As a Data Scientist on this team, you will drive a data-driven culture for OpenAI's API and B2B solutions. You will define key metrics for developer success and enterprise value, measure the impact of new models and features, and collaborate with product managers and engineers to enhance model quality, reliability, latency, and cost. Your work will directly influence how numerous products adopt agentic AI.

San Francisco onsite FullTime
OpenAIPythonGo +2 more

Applied Machine Learning Engineer

11mo ago
Cohere

Cohere

Cohere is seeking a Member of Technical Staff for their Applied ML team. In this role, you will collaborate directly with customers to understand their challenges and implement solutions leveraging Large Language Models. You will apply your problem-solving skills, creativity, and technical expertise to bridge the gap in enterprise AI adoption, delivering impactful products and disrupting key industries. This is an opportunity to join at a pivotal moment, shape the company's offerings, and contribute to cutting-edge AI development.

London hybrid FullTime
CoherePythonTensorFlow +2 more

AI Deployment Strategist - Paris

11mo ago
Mistral AI

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This role is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Paris hybrid Full-time
MistralPythonJavaScript +5 more

Senior AI Deployment Strategist - Paris

11mo ago
Mistral AI

Mistral AI

Mistral AI is democratizing AI through high-performance, open-source models and a comprehensive AI platform for enterprise needs. We are a dynamic, collaborative team passionate about AI's potential to transform society, with a diverse workforce distributed globally. We are seeking a Senior AI Deployment Strategist to bridge the gap between AI vision and execution, ensuring customers realize value from our technology. This role involves strategic advisory and hands-on deployment leadership, acting as a trusted advisor to C-suite executives and architecting AI solutions that drive transformation and deliver measurable business outcomes. You will be embedded in strategic accounts, diagnosing challenges, designing AI solutions, and leading their deployment from concept to full-scale adoption, requiring executive presence, technical credibility, and commercial acumen.

Paris onsite Full-time
MistralLLMsAI/ML +3 more

Model Behavior Architect- Safety

11mo ago
Mistral AI

Mistral AI

As a Model Behavior Architect, you will be at the forefront of defining and measuring LLM behavior. We are seeking individuals with a background in engineering, machine learning, and large language models, who possess expertise in model evaluation, policy writing, and creating evaluation pipelines for complex tasks. Your role will involve close collaboration with our Science team to establish standards for Reasoning, Audio, Alignment, Tools, and other frontier initiatives. This is an opportunity to engage with cutting-edge, open-ended research challenges and translate your insights into superior models.

Paris remote Full-time
MistralLLMsMachine Learning +3 more

AI Deployment Strategist - Spain

11mo ago
Mistral AI

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This position is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Madrid hybrid Full-time
MistralPythonJavaScript +5 more

Advisory Director, EMEA

11mo ago
R

Rogo.ai

Rogo is transforming global finance by empowering professionals at top investment banks, private equity funds, and investment firms with AI. We are redefining financial workflows with unparalleled speed, accuracy, and insight. This is a unique opportunity to join a rapidly growing, global company with proven product-market fit, backed by world-class investors. We are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to Rogo’s mission, taking ownership of complex problems and focusing on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.

London onsite FullTime

Solutions Architect - Infrastructure

11mo ago
d

decagon

Decagon is seeking a Founding Solutions Architect - Infrastructure to shape how enterprises deploy and scale our AI-powered platform. This role blends pre-sales engineering, deployment architecture, and enterprise infrastructure strategy. You will serve as a trusted advisor to enterprise prospects and customers, guiding them through complex deployment discussions, from containerization to multi-cloud architectures, ensuring seamless integration with their existing infrastructure while meeting security, compliance, and scalability needs. As a founding hire, you will define deployment solutioning best practices, collaborate with Sales, Product, and Engineering, and establish technical credibility with stakeholders across various departments.

San Francisco onsite FullTime
AWSDockerKubernetes +3 more

Forward Deployed Engineer - Systems

11mo ago
M

Modal

We are seeking Forward Deployed Engineers to join our engineering team, working at the intersection of deep infrastructure and direct customer impact. In this role, you will partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, and sandboxing. Your primary goal will be to help them design and deploy production infrastructure on Modal's platform, acting as a key technical advisor and problem-solver.

New York onsite FullTime
AWSAzureDocker +4 more

Customer Engineer

11mo ago
M

Modal

AI needs a new infrastructure layer, and Modal is building it. This role is for engineers with deep AI/ML and low-level systems experience who want to build the best technical support experience in the world. It's an engineering role where you are closest to our customers, splitting your time between direct customer interaction and shipping fixes, features, and automation that improve the platform for everyone. You will solve deeply technical problems arising from running demanding AI workloads, contributing production code alongside the core platform engineers. Your roadmap will be shaped by insights gained from the customer experience frontier.

New York onsite FullTime

Member of Technical Staff (Software Engineer, Applied AI)

11mo ago
P

Perplexity AI

Perplexity is seeking an Applied AI Engineer to join a mission-critical team focused on designing, building, and iterating on cutting-edge agents that power our core experience. You will develop frontier context layer applications, aiming to fulfill the curiosity of millions of users worldwide. This role involves applying state-of-the-art ML and LLM techniques to solve complex problems in personalization, contextual recommendations, and monetization, while also building frontier agent capabilities on top of Perplexity Computer.

San Francisco onsite FullTime
Python

Software Engineer, Data Infrastructure - Research

1y ago
OpenAI

OpenAI

We are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI’s next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume.

San Francisco onsite FullTime
OpenAI

Software Engineer, Agents

1y ago
M

Mercor

Mercor is seeking a strong engineer to build scalable agentic products. You will work on a variety of teams focused on automating operational work, developing evaluation systems for RL environments, and building the infrastructure for producing frontier data. This role involves end-to-end ownership of agentic features, from initial scoping and design through implementation, launch, and iteration. You will collaborate with researchers, operators, and AI companies at the forefront of AI advancement, contributing to the development of systems that are redefining society.

San Francisco onsite FullTime
LangGraphLangChainKubernetes +4 more

Member of Technical Staff - Research Infrastructure Engineer

1y ago
B

Black Forest Labs

We are seeking engineers to build and maintain the core infrastructure powering our mission to develop visual intelligence. This role involves maintaining and scaling compute clusters, building research platforms to accelerate innovation, and enabling large-scale, efficient resource orchestration for multi-week/month long training runs. If you are passionate about distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement, this team offers a unique opportunity to contribute to groundbreaking AI models.

€100k - €230k

Freiburg (Germany) onsite FullTime
AWSKubernetesPython +2 more

AI Scientist - Audio

1y ago
Mistral AI

Mistral AI

Mistral is on a mission to democratize AI by producing frontier intelligence for everyone, developed in the open. We are a dynamic, collaborative team passionate about AI's potential to transform society, with diverse teams distributed globally. We develop models for enterprise and consumers, focusing on systems that change business operations and integrate into daily lives, while also releasing frontier models open-source. We are hiring experts in large language model training and distributed systems to shape the future of AI.

Paris remote Full-time
MistralKubernetesPython +8 more

Software Engineer, Enterprise Agents

1y ago
Mistral AI

Mistral AI

Mistral AI is seeking a Software Engineer to design and build core systems that drive the company's growth, focusing on the Enterprise Agents area. This role involves developing internal tools, integrations, connectors, workflows, and dashboards to enhance information flow across the organization. The engineer will collaborate closely with internal stakeholders to understand business needs, translate complex workflows into scalable software, and deliver pragmatic solutions that optimize team operations. The position is at the intersection of engineering, finance, data, and operations, contributing to a dynamic and collaborative team environment.

Paris remote Full-time
MistralDockerKubernetes +5 more

Member of Technical Staff, Agent Code

1y ago
Cohere

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! Why this role? Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. As a Member of Technical Staff on the Agent Code team, you will: - Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems. - Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms - Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users - Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs. You may be a good fit if you have: - A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). - Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development - Hands-on experience with frontier LLMs and their applications in code generation or automation. - Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. - Experience with distributed systems, cloud infrastructure, and scalable architectures. - A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems. What We Offer: - The opportunity to work on cutting-edge problems at the intersection of AI, code generation, and autonomous agents. - Access to world-class compute resources, data, and a collaborative team of researchers and engineers. - A remote-friendly, flexible work environment with a focus on impact and innovation. - Competitive compensation and benefits, including equity in a fast-growing AI company. If you’re passionate about shaping the future of code LLMs and agent systems, and thrive in a dynamic, research-driven environment, we’d love to hear from you! 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.

London hybrid FullTime
CoherePythonPyTorch +1 more

Forward Deployed Engineer - Tokyo

1y ago
OpenAI

OpenAI

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems, operating at the intersection of customer delivery and core platform development. Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams, and measuring success through production adoption, workflow impact, and feedback that shapes product and model roadmaps. This role requires fluency in both Japanese and English and is based in Tokyo with a hybrid work model.

Tokyo, Japan hybrid FullTime
OpenAIPythonJavaScript

AI Deployment Strategist - MENA

1y ago
Mistral AI

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and scaling of cutting-edge AI solutions, particularly Generative AI. This individual will work closely with Sales Executives to tailor Mistral's offerings to client needs, design implementation projects, and guide companies in integrating GenAI into their operations. The role involves ensuring seamless transitions from concept to production, partnering with product and science teams, and tackling complex business problems with AI to deliver measurable outcomes. The position requires a passion for AI, a drive to stay updated on the latest advancements, and the ability to connect technology with business value.

Abu Dhabi hybrid Full-time
MistralPythonJavaScript +4 more

Staff Product Designer

1y ago
Harvey

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This is a rare chance to help build a generational company at a true inflection point, scaling fast and defining a new category. The work is ambitious, the bar is high, and the opportunity for growth is unmatched. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As a Staff Product Designer, you will manage multiple projects from ideation to launch, creating high-quality designs, interactions, and prototypes that transform complex problems into intuitive solutions. You will incorporate AI in meaningful ways, crafting interfaces that help users understand, trust, and effectively guide AI outputs.

$200k - $260k

San Francisco hybrid FullTime

Developer Relations Engineer

1y ago
M

Modal

Modal is building the next generation of AI infrastructure, enabling developers to easily serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are seeking a Developer Relations Engineer to create and distribute unique, educational, and practical technical content. This role is crucial as it often serves as the first touchpoint for many users, aiming to showcase Modal's capabilities and become a trusted resource for AI technology implementation.

San Francisco onsite FullTime

Software Engineer, Security

1y ago
c

cursor

Security Software Engineers at our company are responsible for ensuring the security of our products from end-to-end. This includes focusing on enterprise security, cloud infrastructure, and direct product protections. You will develop the tools and features necessary to secure our platform and editor, ultimately safeguarding our customers.

San Francisco onsite FullTime

Forward Deployed Engineer, Gov

1y ago
OpenAI

OpenAI

The Forward Deployed Engineer (FDE) role at OpenAI for Government focuses on leading complex deployments of frontier AI models in production environments for government and public sector customers. You will embed with these strategic clients to understand their challenges, structure delivery, and rapidly build full-stack solutions that create measurable value. This involves scoping, sequencing, and driving clarity across internal and external teams, acting as a technical thought partner to defense, intelligence, and federal stakeholders to guide adoption, maximize mission impact, and ensure successful deployments at scale. The role also involves identifying reusable patterns, codifying best practices, and providing field feedback to influence OpenAI's product roadmap.

Washington, DC hybrid FullTime
OpenAIAWSAzure +4 more

AI Deployment Strategist - UK

1y ago
Mistral AI

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of their AI solutions. This role involves working closely with customers from strategic vision to production implementation, sitting at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success by bridging the gap between strategy and execution. This role is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

London hybrid Full-time
MistralPythonJavaScript +5 more

Product Manager, Agent Data Platform

1y ago
s

sierra.ai

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We are a primarily in-person company based in San Francisco, with growing international offices. Our mission is to revolutionize consumer and business interaction by empowering every business to build a world-class AI agent that fully represents its identity and brand. This role will focus on bringing enterprise-grade AI Agents to the world, solving complex customer needs, and innovating at the forefront of AI.

San Francisco, CA onsite FullTime
OpenAITypeScriptGo +1 more

Data Scientist

1y ago
M

Mercor

Mercor is a leading AI data company building the layer between human expertise and frontier models. Millions of domain experts are paid to train frontier AI models, and Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this infrastructure to Fortune 500 companies, helping them capture how their best people work and translate that expertise into agents. The company is creating a new category of work where expertise powers AI advancement, requiring an ambitious, fast-paced, and deeply committed team working alongside researchers, operators, and AI companies at the forefront of shaping systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion.

San Francisco onsite FullTime
PythonSQL

Senior Agent Product Manager

1y ago
d

decagon

Decagon is seeking a Senior Agent Product Manager to own the successful delivery, adoption, and expansion of AI solutions for their enterprise customers. This role involves acting as the primary technical and strategic owner, earning trust with customer leadership, scoping solutions, and building working AI agents. You will be the direct owner for each account's agents end-to-end, partnering with various teams to scale the agent in production and integrate it into the customer's core operations. This position offers a unique blend of executive influence, product building instincts, and founder-like ownership, allowing you to build solutions directly on high-stakes accounts with cross-functional support.

$200k - $285k

New York City onsite FullTime
AI Agents

Machine Learning Infrastructure Engineer, Model Inference

1y ago
Abridge

Abridge

Abridge is seeking an ML Infrastructure Engineer, Model Inference to build and optimize the core inference infrastructure powering their machine learning models. This role is crucial for enhancing the scalability, efficiency, and performance of Abridge's AI-driven healthcare solutions. The engineer will collaborate with Infrastructure and Research teams to build, deploy, optimize, and orchestrate AI models, working on a platform that transforms patient-clinician conversations into structured clinical notes in real-time.

SF Office hybrid FullTime
KubernetesPyTorchTensorFlow +3 more

Senior Research Engineer

1y ago
d

decagon

Decagon is seeking a Senior Research Engineer to join their team and build industry-leading conversational AI models. This role involves taking models from idea to production, owning multi-quarter initiatives to enhance agent reliability, capability, and efficiency, and designing/implementing frontier approaches for training, evaluation, and orchestration. The ideal candidate will be a strong engineer passionate about building core AI agent models and algorithms, with a track record of end-to-end ownership and high-impact technical decisions.

$200k - $400k

San Francisco onsite FullTime
PythonAI Agents

AI Deployment Strategist - Netherlands

1y ago
Mistral AI

Mistral AI

Mistral AI is seeking an AI Deployment Strategist to drive the adoption and deployment of its AI solutions. This role involves working closely with customers from strategic vision to production implementation, bridging the gap between business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales, directly contributing to customer success and transformative outcomes. This position is ideal for individuals who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.

Amsterdam hybrid Full-time
MistralPythonJavaScript +5 more

Staff Software Engineer, Frontend

1y ago
Harvey

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This is a rare chance to help build a generational company at a true inflection point, with strong product-market fit and world-class investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As a Staff Software Engineer, Frontend, you will own and lead engineering projects that define the user experience of our different products, including Assistant, Vault, Workflows, and Harvey in Microsoft Word and Outlook, as well as lead frontend engineering on new products.

$238k - $290k

San Francisco hybrid FullTime
TypeScript

Member of Technical Staff - Python SDK

1y ago
M

Modal

We are seeking experienced engineers to build developer tools that users love. The ideal candidate will have a proven track record of creating intuitive and productive interfaces for developers. This role involves a strong focus on developer ergonomics and productivity, requiring a deep understanding of advanced Python features, particularly async programming. You will work closely with users to solve their problems and contribute to a high-impact infrastructure layer for AI. This position also includes participation in an on-call rotation to address production incidents.

New York onsite FullTime
PythonTypeScriptGo +1 more

Product Manager, Agent Development (Spanish speaking)

1y ago
s

sierra.ai

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Product Manager to join our team and focus on developing enterprise-grade AI Agents. In this role, you will partner directly with engineers and customers to build and ship AI agents capable of handling thousands of customer conversations daily. You will engage with customers at all levels to understand their requirements, demonstrate Sierra's agent capabilities, and address technical challenges by collaborating with technical counterparts. A key part of this role involves shaping the product roadmap by working with engineering and product development teams to scope and implement new features that drive customer success.

London onsite FullTime
OpenAITypeScriptGo +1 more

Product Manager, Agent Development (French speaking)

1y ago
s

sierra.ai

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We are seeking a Product Manager to join our team and focus on developing Enterprise-grade AI Agents. This role involves partnering directly with engineers and customers to build and ship AI agents capable of handling thousands of daily customer conversations. You will engage with customers at all levels to understand their requirements, demonstrate Sierra's agent capabilities, and address technical challenges. A key part of this role is shaping the product roadmap by collaborating with engineering and product development teams to implement new features that drive customer success.

London onsite FullTime
OpenAITypeScriptGo +1 more

Product Manager, Agent Development (German speaking)

1y ago
s

sierra.ai

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent PM, you will partner directly with engineers and customers to build and ship AI agents capable of handling thousands of customer conversations daily. This role involves engaging with customers at all levels to understand their requirements, demonstrate Sierra's agent capabilities, and address technical challenges. You will also develop and improve virtual agents to meet customer needs and drive strategic technical initiatives for clients, while shaping the product roadmap by collaborating with engineering and product development teams on new features.

London onsite FullTime
OpenAITypeScriptGo +1 more

Software Engineer, Agent (Spanish speaking)

1y ago
s

sierra.ai

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family, which shape our culture and actions.

London onsite FullTime
OpenAITypeScriptGo +4 more

Software Engineer, Agent (French speaking)

1y ago
s

sierra.ai

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family, which shape our culture and actions.

London onsite FullTime
OpenAITypeScriptGo +4 more

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.

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