RAG Systems Jobs

Senior role building Brex's external AI ecosystem, focusing on integrations that allow customers to interact with Brex through third-party assistants and platforms. You'll own the technical strategy for exposing Brex data safely, designing permissions/auditability across boundaries, and building exemplar AI applications for sophisticated customers. Success is measured by real customer usage and trust rather than integration volume.

Lead technical ownership of Brex Assistant, a conversational AI product that automates financial workflows and expense management. Responsible for shipping production-grade agentic systems, setting quality standards, and deeply integrating AI capabilities into Brex's core finance platform to drive measurable customer outcomes.

Lead the technical vision for next-generation shopping experiences at Instacart by designing ML systems that leverage generative AI, LLMs, and agentic AI to transform search and discovery. This hands-on IC role at Director level requires building production systems that move beyond traditional ranking pipelines to create intelligent, personalized shopping experiences at scale.

Design and build AI agents for Instacart's ads platform that analyze campaign performance, diagnose issues, and recommend optimizations. Develop the semantic/context layer and data infrastructure (dbt, Snowflake) that powers these agents to improve ROAS and operational outcomes. Partner across product, data science, and engineering to deploy production-ready AI solutions with measurable business impact.

Staff-level ML engineering role focused on building and maintaining Reddit's search and recommendation relevance systems that operate on massive conversation datasets. The position requires expertise in designing scalable, low-latency ML systems that deliver relevant search results across 100M+ daily active users.

Senior Staff role leading Reddit's large-scale GenAI Platform vision, strategy, and architecture across the company. Focuses on designing and maintaining the LLM Gateway with unified API endpoints, rate/token management, and intelligent failover for reliability. Drives platform capabilities and operating models enabling teams to build, deploy, and scale generative AI products confidently.

Reddit seeks a Senior Staff ML Engineer to lead the Relevance team and architect next-generation search and answer systems powered by modern AI. The role involves designing large-scale systems spanning query understanding, retrieval, ranking, and LLM-based answers to deliver highly relevant search experiences across Reddit's massive content corpus.

Lead development of Reddit's large-scale GenAI Platform, focusing on building an LLM Gateway with unified API endpoints, rate limiting, and intelligent failover. Design and operationalize enterprise-grade RAG applications and agentic AI workflows while establishing MLOps/LLMOps best practices for production GenAI systems at scale.

Build AI-powered fee explainability experiences for Stripe merchants using agentic systems and NLP to help users understand complex billing and pricing. Work across full-stack engineering—backend services, frontend dashboards, data pipelines, and AI agents—while ensuring reliability and accuracy at scale through robust evaluation frameworks.

Build end-to-end ML and agent architecture for an intelligent Stripe Assistant that executes high-trust actions, provides accurate analytics, and orchestrates multi-tool capabilities. Establish rigorous evaluation frameworks, governance models, and human-in-the-loop execution patterns while driving improvements in quality, latency, cost, and availability.

This role bridges learning and development with AI-powered systems at Stripe, requiring someone who can architect scalable learning ecosystems and deploy AI-driven coaching solutions. The ideal candidate combines pedagogical expertise with product engineering mindset to transform traditional training programs into intelligent, tech-enabled platforms that deliver learning in the flow of work.

Build innovative GenAI-powered internal tools at Stripe's Collaboration team as a full-stack engineer. Own end-to-end solutions that enhance employee productivity by integrating large language models and collaborating across multiple engineering teams. Focus on balancing technical excellence with user-centric design and measurable impact.

Tech Lead role focused on scaling and optimizing a production Generative AI conversation engine to support hundreds of millions of enterprise users across multiple chat channels. Requires designing scalable APIs, building product infrastructure for model customization, and championing engineering excellence while collaborating closely with ML experts on real-time, multilingual conversational systems.

Sr. Machine Learning Engineer focused on improving search relevance for a QA platform using modern information retrieval and NLP techniques. Responsible for developing ranking features, designing experimentation platforms, and optimizing search quality metrics while addressing challenges like semantic understanding and data sparsity. Requires deep expertise in ML-based ranking models, text processing, and search systems with experience analyzing query logs to drive product improvements.

This is a Staff-level Machine Learning Engineering role leading Moveworks' GenAI Search Platform team, focusing on building conversational search and question-answering systems that combine traditional ML with LLMs. The position requires deep expertise in information retrieval, ranking, and search architecture, combined with strong technical leadership capabilities to mentor engineers and drive product innovation at scale.

Principal-level product management role leading the search platform and infrastructure for an advanced enterprise AI platform. Requires 5+ years of technical product management experience building ML/generative AI products, with deep expertise in NLP, semantic search, and real-time ML performance optimization. This position demands strong technical foundations, cross-functional collaboration skills, and ability to translate cutting-edge AI research into differentiated product capabilities.

This is a senior engineering manager role leading a team focused on improving search relevance for AI-powered enterprise applications using LLMs and RAG techniques. The role combines technical leadership in machine learning with team management responsibilities, requiring expertise in search ranking, model development, evaluation methodologies, and cross-functional coordination.

Build large-scale distributed systems and data infrastructure powering an agentic AI SRE platform (Herd) at CoreWeave. Design and architect embedding pipelines, vector stores, and agent orchestration systems that enable LLM-powered agents to assist human engineers in production environments. This role bridges AI operations, distributed systems, and data engineering at the intersection of autonomous systems and production reliability.

Senior AI Engineer role at Weights & Biases focused on building production-grade GenAI applications and agentic systems. You'll design end-to-end workflows from prompting through RAG to agents and evals, then publish reference implementations and teach the community. This is applied AI work at the research-to-product boundary, emphasizing reproducibility, responsible deployment, and shipping production systems.

Lead a team of Forward Deployed Engineers building production AI agents for Fortune 500 enterprises, owning technical delivery quality, vertical expertise development, and scalable solution patterns. This is a technical leadership role requiring oversight of complex enterprise AI deployments, team growth, and strategic customer engagement across your assigned industry segment.

Lead technical delivery of custom AI agent solutions for enterprise customers in regulated industries, owning engagements end-to-end from scoping through production deployment. Balance technical depth with stakeholder management, translating business objectives into executable roadmaps while collaborating with engineering teams and C-suite sponsors. Help establish repeatable patterns and playbooks for scaling AI agent deployments in mission-critical business processes.

Staff+ backend engineer role at Anthropic focused on building and scaling systems that power Claude API, Claude.ai, and Claude Code for hundreds of thousands of users. The role spans multiple specialized teams (API Core, API Capabilities, API Knowledge) requiring independent project ownership, cross-functional leadership with research and product teams, and hands-on technical execution. Strong emphasis on reliability, performance optimization, feature productionization, and architectural decision-making for frontier AI systems.

Pre-sales Solutions Architect role at Anthropic focused on helping state and local government agencies architect and deploy Claude LLM solutions. Requires deep technical expertise in LLMs and AI systems combined with strong customer-facing skills, from initial discovery through deployment and performance evaluation.

Solutions Architect role focused on guiding startups through LLM adoption on Claude's platform, requiring 3+ years of technical customer-facing experience. The position bridges sales engineering and product expertise, demanding deep knowledge of LLM capabilities, evaluation frameworks, and AI architecture design while serving as a trusted technical advisor.

A senior-level Solutions Architect role focused on helping startups successfully adopt Claude by providing deep technical expertise, winning evaluations, and guiding LLM architecture decisions. The position requires 5+ years of technical customer-facing experience and strong startup ecosystem knowledge, blending sales engineering with product-level technical insight.

A pre-sales solutions architect role focused on helping national security agencies adopt and integrate Claude LLMs into their technology stacks. The position requires deep technical expertise in LLM systems combined with strong customer-facing skills to architect scalable solutions, develop evaluation frameworks, and guide deployment from discovery through production. Success demands the ability to communicate complex AI concepts across technical and executive audiences while coordinating cross-functional teams.

This role requires a senior technical architect with deep LLM expertise to serve as a pre-sales trusted advisor for enterprise Claude adoption. The position bridges technical and business domains, requiring the ability to design scalable AI solutions, architect integrations, and communicate complex capabilities to both engineering teams and executives. Success depends on translating customer requirements into technical implementations while coordinating across internal teams to drive customer success.

Pre-sales Solutions Architect role focused on guiding enterprise customers through Claude AI adoption from discovery to deployment. Requires deep LLM technical expertise combined with customer-facing skills to design scalable architectures, develop evaluation frameworks, and serve as trusted technical advisor bridging sales, product, and engineering teams.

Solutions Architect role at Anthropic focused on pre-sales technical advisory for enterprise customers adopting Claude LLM. Responsibilities include translating business requirements into technical solutions, guiding architecture decisions, developing evaluation frameworks, and serving as primary technical advisor throughout the customer adoption journey from discovery through deployment.

A pre-sales Solutions Architect role focused on helping enterprise clients understand and deploy Claude LLMs effectively. The position combines deep technical expertise in LLM systems with customer-facing advisory skills to design scalable solutions that address complex business challenges while maintaining high safety and reliability standards.

Pre-sales Solutions Architect role at Anthropic focused on helping government and enterprise customers integrate Claude LLM into their technology stacks. The position requires deep technical expertise in LLMs and system architecture combined with customer-facing skills to advise on solution design, evaluation frameworks, and deployment strategies across the customer adoption journey.

This pre-sales solutions architect role focuses on helping federal civilian agencies adopt Claude by serving as a trusted technical advisor throughout their deployment journey. The position requires translating customer requirements into LLM-based solutions, creating evaluation frameworks, and architecting scalable integrations while maintaining alignment between business objectives and technical implementation.

This role is a pre-sales solutions architect at Anthropic focused on helping enterprise customers adopt Claude AI through technical advisory and architecture guidance. The position bridges technical expertise with customer-facing skills, requiring deep LLM knowledge, evaluation design, and the ability to translate complex technical concepts for both engineering and executive audiences.

This is a pre-sales Solutions Architect role focused on helping enterprise customers across India understand and deploy Claude LLMs into their technology stacks. The role requires deep technical expertise in LLM systems combined with strong customer-facing skills to architect solutions, develop evaluations, and guide customers from discovery through successful deployment.

This pre-sales Solutions Architect role focuses on helping enterprise customers understand and integrate Claude LLMs into their technology stacks. The position requires deep technical expertise in LLM capabilities, architecture design, and evals, combined with strong customer-facing and communication skills to bridge business objectives with technical implementation across the entire adoption lifecycle.

A pre-sales solutions architect role at Anthropic focused on helping large Japanese enterprises integrate Claude into their technology stacks. The position combines deep LLM technical expertise with customer-facing skills to architect scalable AI solutions, develop evaluation frameworks, and serve as a trusted technical advisor throughout the adoption journey.

A pre-sales Solutions Architect role at Anthropic India focused on guiding enterprise customers through Claude LLM adoption, from technical discovery to deployment. The position requires deep LLM expertise combined with strong customer-facing skills to architect scalable AI solutions and serve as a technical advisor bridging Sales, Product, and Engineering teams.

Anthropic seeks an exceptional Principal-level engineer to define multi-year technical strategy and drive execution across the Claude API platform, spanning core reliability, model capabilities, knowledge systems, distribution, and agentic workflows. This high-agency role requires leading complex cross-team initiatives at the intersection of research integration, inference optimization, and enterprise-scale infrastructure to position Claude as the primary channel for AI distribution.

A pre-sales solutions architect role focused on building technical partnerships with system integrators and cloud partners to accelerate AI adoption and revenue. The position requires deep expertise in GenAI/LLM solutions, solution design, and the ability to guide partners through complex technical implementations while gathering product feedback to inform strategy.

This role seeks a senior pre-sales architect to build and strengthen technical partnerships with System Integrators and cloud providers around Anthropic's AI solutions. The position combines technical expertise in LLMs and system design with business acumen to accelerate indirect revenue, develop joint GenAI solutions, and drive partner enablement across the enterprise ecosystem.

Principal-level industry advisor role combining deep insurance domain expertise with technical credibility to drive Claude adoption among major insurers and brokers. Responsibilities span customer engagement, product strategy influence, thought leadership, and internal enablement across underwriting automation, claims processing, fraud detection, and customer experience use cases.

Forward Deployed Engineer who embeds with federal civilian customers to build production AI applications using Claude models, including MCP servers and agents. Combines strong engineering expertise with customer-facing skills to drive transformational AI adoption and identify repeatable deployment patterns. Requires autonomy, frontier AI knowledge, and the ability to operate effectively in ambiguous government environments.

Forward-deployed engineer role embedding with strategic enterprise customers to build production AI applications using Claude models and modern AI stacks. Combines deep LLM expertise with customer-facing skills to architect and deploy complex AI solutions, identify deployment patterns, and champion Anthropic's mission at the enterprise level. Requires 4+ years of technical experience, autonomous operation under ambiguity, and 25-50% travel to customer sites.

Forward Deployed Engineer at Anthropic working directly with enterprise customers to design and deploy production AI applications using Claude models. The role combines software engineering expertise with customer-facing collaboration to build custom solutions including MCP servers, agents, and agent skills that solve complex business problems. You'll shape Anthropic's enterprise deployment strategy while maintaining high standards for safety and reliability.

Forward Deployed Engineer role focused on embedding with strategic enterprise customers to build production AI applications using Anthropic's Claude models. Requires strong full-stack engineering skills combined with customer-facing abilities to architect and deploy advanced LLM-based solutions including agents, MCP servers, and RAG systems. Serves as a founding FDE responsible for shaping enterprise adoption patterns and maintaining high standards for AI safety and reliability.

Anthropic seeks a Research Scientist/Engineer to develop techniques for improving honesty and minimizing hallucinations in large language models within their Finetuning Alignment team. The role focuses on creating data pipelines, classifiers, benchmarks, and reinforcement learning systems to ensure models are accurate, well-calibrated, and truthful across domains. Candidates should have MS/PhD in CS/ML, strong Python skills, and industry experience with language model finetuning and evaluation.

Lead an engineering team building Claude-powered AI products for financial services customers, with focus on integrated experiences in Excel and PowerPoint for document-centric workflows. Manage end-to-end execution, shape product roadmap cross-functionally, partner with research teams, and own reliability across Anthropic and third-party platforms. This is a high-ownership role for a product-minded engineering manager with experience shipping AI products to enterprise customers.

Apply your AI engineering expertise as a technical advisor to top AI-native startups building on the Claude platform. You'll provide hands-on guidance through pair programming, architecture design, and custom evaluation frameworks while collaborating with product teams to drive innovation at scale. This role blends deep technical engineering with startup partnership and community engagement.

Applied AI Engineer role at Anthropic's Beneficial Deployments team focused on deploying Claude in life sciences research. You'll build AI agents and ecosystem infrastructure (MCP servers, benchmarks, tools) embedded directly within research institutions like HHMI and Allen Institute, turning early prototypes into production systems that accelerate scientific discovery.

Anthropic seeks a senior Applied AI Engineer to serve as a technical advisor to customers deploying Claude API in their products. The role combines deep LLM engineering expertise with customer-facing collaboration, spanning architecture design, evaluation frameworks, hands-on implementation support, and thought leadership through public content and conference speaking.