RAG Jobs

Anthropic

Anthropic is seeking Research Engineers to reimagine how Claude interacts with external data sources. This role involves designing novel architectures for organizing information and training language models to effectively utilize these architectures. The goal is to move beyond traditional data paradigms to accommodate the capabilities of Large Language Models (LLMs).

Lambda is seeking a Technical Success Engineer to join their Superintelligence business unit. This role is responsible for managing the deployment of AI cloud infrastructure for large, strategic customers, taking projects from contract signing to a fully operational production environment. You will act as the primary technical contact, ensuring customer requirements are met by validating configurations, identifying gaps, and collaborating with engineering and infrastructure teams to resolve issues. The goal is to ensure a seamless transition to production and customer self-sufficiency.

The Infra team at LlamaIndex is responsible for the foundational systems that power their AI product and the tools that enable engineers to develop, ship, and observe their code. They are seeking team members to design, build, and scale core infrastructure for a high-volume data platform for AI applications. The ideal candidate will have experience managing cloud infrastructure, navigating stages of scale, and empowering the engineering team. LlamaIndex values customer-obsession, collaboration, hard work, optimism, and ownership.

Clay is seeking a Software Engineer to join their Applied AI team, focusing on building and refining AI agents that go beyond simple text generation to perform complex, multi-step tasks for users. This role involves working closely with product and research teams to ensure these agents are not only capable but also reliable, steerable, and trustworthy for production use. The core challenge is bridging the gap between demo-worthy agents and those that can operate dependably unattended, translating model improvements into tangible benefits like task completion, reliability, and time savings for end-users.

LangChain is seeking a Partner Engineer to build the technical foundation for our ecosystem, enabling cloud providers and systems integrators to reach more customers. This role involves creating reference architectures, integration patterns, and enablement programs to support partner motions, including co-selling with hyperscalers and enabling independent delivery by systems integrators. You will work closely with partners to develop solutions that their technical teams can then leverage with their own clients, ultimately shaping how AI technology is deployed in the real world.

$170k - $200k

Mercor is a leading AI data company organizing human intelligence to power the AI economy. We are building the layer between human expertise and frontier models, with millions of domain experts on our platform training AI models. This role focuses on code data, specifically owning the architecture and algorithms for searching across code tasks. The goal is to find similar tasks, route them to the right models, and translate natural language questions into precise retrieval queries. This is a hands-on technical leadership position where you will design and build retrieval systems, manage trade-offs for speed and cost at scale, and continuously evolve these systems as state-of-the-art code models advance. You will also set technical direction, mentor engineers, and raise the bar for engineering practices within the organization.

Decagon is seeking an Agent Experience Designer to shape the quality of AI conversation experiences across various channels and languages for enterprise customers. This role involves working directly with customers and internal teams to enhance agent performance, particularly in voice interactions, and developing systems to scale expertise. The work encompasses research, design, enablement, and product strategy, with a focus on translating field insights into platform improvements and contributing to the next generation of intelligent systems.

$180k - $220k

Sierra is building a platform to enable companies 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. Our Tech, Media & Telecom team builds AI agents for critical moments, transforming customer relationships for telecommunications providers, media brands, and technology platforms. These agents help customers navigate service disruptions, product launches, and major events, aiming to personalize experiences, optimize plans, and drive loyalty.

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. As we scale rapidly and take on increasingly complex use cases, we’re expanding our product engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As a Senior Engineering Manager for Product Engineering, you’ll lead teams of backend engineers building the core product surfaces that lawyers and legal professionals use every day. This role is equal parts product intuition and technical execution, where you’ll be trusted to make fast, high-quality decisions, ship impactful features, and grow a team that embodies engineering excellence.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. The Retail team on Agent Engineering partners with major consumer brands like Gap, Wayfair, and Sonos to reinvent commerce in an AI-first era. Our agents support customers across web, app, phone, and in-store channels, resolving issues, driving revenue, and building loyalty. Engineers on this team are product-led thinkers who own agents end-to-end, setting the standard for the future of the retail industry.

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 work.

Cohere

Cohere is a leading enterprise AI company building cutting-edge foundation AI models and end-to-end products. The North Tools & Retrieval team is responsible for how users bring their data into the platform and put it to work. This includes owning systems for uploading, organizing, and sharing files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline connecting enterprise data sources to North's agents. We are seeking a senior generalist who can operate across both backend and frontend development to own features end-to-end, from API design and database schema to the user-facing frontend.

Inflection AI

Inflection AI is seeking a hands-on Principal Engineer to lead the architecture and technical direction of its agentic AI systems. This role involves building production AI agents capable of reasoning, retrieving context, utilizing tools, and safely executing complex workflows. You will drive the design of scalable agent architectures, evaluation frameworks, observability, and reliability systems. Collaborating closely with product, design, and engineering teams, you will transform ambiguous problems into AI-native experiences, mentor senior engineers, and establish technical standards for the next generation of intelligent agents.

Weaviate is seeking a Director of Product to own product strategy and decision-making for their AI-native vector database, cloud offering, and agent products. This role involves significant customer interaction to understand enterprise requirements and translate them into a product roadmap that engineering can execute. The Director will work closely with the CTO on vision and tech leads on feasibility, acting as a player-coach by managing a small product team while also owning specific product areas. The ideal candidate is comfortable engaging with enterprise customers, making data-driven prioritization decisions, and collaborating effectively with engineering teams, understanding the trade-offs involved in product development.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. This Developer Relations Engineer role is a blend of engineering, content creation, and community engagement, with a primary focus on the code and content aspects. As a Developer Advocate, you will be a developer first, creating demos, integrations, and technical content that showcase the capabilities of Sarvam's models and facilitate their adoption by other developers. Your work will often be the initial touchpoint for developers interacting with Sarvam, requiring a high standard for both code and written communication. A core aspect of this role is empathy, understanding developer frustrations with APIs or documentation, and channeling that insight back to the engineering team to drive improvements.

Glean is seeking a Machine Learning Engineer to enhance the quality of its AI Assistant and autonomous agents. This role focuses on production machine learning, LLM-powered systems, and product engineering, with an emphasis on building, evaluating, and refining assistant experiences to be useful, reliable, and grounded in enterprise workflows. The ideal candidate is driven by shipping production systems rather than pure research and is eager to improve Glean's assistant through stronger signals, tighter feedback loops, and better end-to-end execution quality.

$180k - $205k

We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding. This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications.

Perplexity is seeking a highly experienced individual to join their data team, focusing on building AI systems that fundamentally change how data science is performed. This role involves creating AI agents and internal systems capable of handling end-to-end analysis workflows, from hypothesis formation to drafting recommendations. You will also develop the retrieval infrastructure, evaluation loops, and automated workflows necessary for reliable AI-driven data analysis and issue resolution. The goal is to transform existing AI-assisted workflows into scalable, shared tools and establish an AI-native operating model for the data team.

Sierra is building a platform to enable companies to create AI-powered customer experiences. The Retail team specifically focuses on partnering with retailers to develop AI agents that assist millions of shoppers daily with tasks like order tracking, product discovery, and issue resolution. These agents go beyond traditional support to generate revenue through personalized recommendations, cart recovery, and in-store support, transforming how brands engage with their customers and making shopping more personal and delightful.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. This role focuses on the Financial Services team, partnering with leading banks, neobanks, and insurers to transform customer experiences and build modern AI tools. You will own the entire lifecycle of AI agents for customers, from initial concept to production deployment, ensuring they measurably improve business outcomes. This position sits at the intersection of product development, agent building, and customer engagement, requiring close collaboration with both technology and people.