RAG Jobs

Cohere

Cohere is seeking Software Engineers with Applied AI experience to join their Agentic Platform team. This role focuses on shaping how enterprises use AI by acting as a bridge between Cohere's North AI workspace platform and client engineering teams. You will be responsible for designing, building, and deploying agentic workflows powered by Large Language Models (LLMs) to solve complex business problems and deliver tangible value in enterprise settings. This involves integrating LLMs with tools, APIs, and data sources, ensuring agents are reliable, observable, safe, and auditable from day one. The position requires close collaboration with customers to translate business needs into technical specifications and to drive the end-to-end delivery of AI solutions.

$20k - $40k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone to use, customize, and build on. We are seeking an exceptional technical lead to build and scale our Forward Deployed Engineering function within the AI Solutions team. This role is critical in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.

Scale AI

Scale is seeking a high-horsepower technical leader to join their Public Sector team as a GenAI Test & Evaluation (T&E) Product Manager. This role involves defining the vision and owning the roadmap for evaluation capabilities, crucial for measuring, improving, and proving the performance of agentic applications in high-stakes government environments. You will collaborate across engineering organizations to identify and resolve technical bottlenecks, driving execution and ensuring evaluation services meet the demanding requirements of government use cases. The primary objective is to refine the technology stack that supports ML team advancements and provides critical performance insights to stakeholders.

$154k - $257k

Cohere

Our mission is to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises. We are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. Data quality is foundational to this process, and as a Data Annotation Specialist, you will play a crucial role in improving Large Language Model performance by labeling, ranking, auditing, and correcting text output. This is a part-time independent contractor position with a minimum commitment of 16 hours per week.

Cohere

Our mission is to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises building AI systems. We are seeking a Data Annotation Specialist with exceptional Japanese writing, translation, and data manipulation skills to join us. In this role, you will be instrumental in improving Large Language Model performance by labeling, ranking, auditing, and correcting text output, thereby having a lasting impact on our technology. This is a part-time independent contractor position requiring a minimum commitment of 16 hours per week.

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams of Applied AI Engineers to ensure successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will serve as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, while collaborating with research, product, and engineering teams to shape future offerings. The position bridges cutting-edge AI research with real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's technological vision.

Cohere

Cohere is seeking a Research Intern to collaborate with researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. Interns will have the opportunity to work on various teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, or any research area relating to LLMs. This role offers a chance to broaden research connections while gaining deep experience in a growing AI startup.

Mistral AI

Mistral AI is seeking an Applied Scientist with deep expertise in engineering sciences to work at the forefront of AI-accelerated simulation. This role involves collaborating with industrial customers and internal research teams to build and deploy AI Physics Models, complementing our existing Large Language Models (LLMs). You will be involved in the entire process, from curating high-fidelity simulation datasets and training/evaluating models to delivering production-grade AI solutions directly to engineering teams. The target domains include computational fluid dynamics, structural mechanics, semiconductor design, multi-physics modeling, and digital twins. Working cross-functionally, you will ensure our models meet stringent engineering standards beyond just benchmark metrics.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join its specialized unit focused on delivering high-impact, secure AI solutions for critical and sovereign institutions. This team works closely with clients in highly regulated environments to design, deploy, and maintain AI systems that meet stringent standards for reliability, security, and operational excellence. The role involves technical design, implementation, and deployment of AI solutions tailored to the unique needs of critical infrastructure and sovereign institutions, contributing directly to projects with significant societal and operational impact.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate the adoption of their products among customers. This role involves collaborating closely with clients from pre-sale to post-implementation, ensuring their solutions meet and exceed expectations. You will manage daily customer relations, acting as a key resource for externalizing research into production settings and driving the successful deployment of Mistral AI products. The position offers the opportunity to work on state-of-the-art Generative AI applications across various industries and contribute to a pioneering company shaping the future of AI.

Mistral AI

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams of Applied AI Engineers to ensure successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will serve as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, and collaborating with research, product, and engineering teams to shape future offerings. The position bridges cutting-edge AI research with real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's vision.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate customer adoption of their AI products. This role involves collaborating closely with customers to address complex technical challenges, from pre-sale to post-implementation, ensuring solutions meet and exceed client expectations. You will manage daily customer relations, act as a key resource for externalizing research into production, and work on state-of-the-art Generative AI applications across various industries. This position offers the opportunity to contribute to a pioneering company shaping the future of AI and make a meaningful impact.

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.

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.

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

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

Cohere

Cohere is a leading enterprise AI company focused on building cutting-edge foundation AI models and end-to-end products to solve real-world business problems. We are dedicated to scaling intelligence to serve humanity by training and deploying frontier models for developers and enterprises. Our mission involves creating AI systems that power magical experiences like content generation, semantic search, RAG, and agents. We believe our work is crucial for the widespread adoption of AI, and we are looking for passionate individuals to join our team. Data quality is fundamental to our process, and as a Data Annotator, you will play a vital role in improving Large Language Model performance through labeling, ranking, auditing, and correcting text output.

Cohere

Our mission is to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises. We are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. Data quality is foundational to this process, and as a Data Annotation Specialist, you will play a crucial role in improving Large Language Model performance by labeling, ranking, auditing, and correcting text output. This part-time independent contractor position requires exceptional Modern Standard German Writing, Translation, and Data Manipulation skills, with a commitment of 16 hours per week.

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

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