AI Engineer

LangChain•San Francisco, CA

4h•$160,000 - $180,000•Remote

About The Position

We're looking for an AI Engineer to join our Professional Services team. You'll work directly with enterprise customers to design, build, and optimize production-grade AI agent systems. This role combines software development, AI/ML expertise, and customer-facing skills, you'll work on everything from multi-agent system design to evaluation framework implementation, requiring deep technical expertise in agent engineering with understanding of cloud infrastructure and deployment patterns. You'll join a collaborative team environment with a strong engineering culture, with direct impact on customer success and the opportunity to shape best practices while working with cutting-edge AI technology.

Requirements

5+ years of experience in software development with 2+ years focused on AI/ML applications or agents. Customer-facing experience is preferred. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply.
2+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (langchain/langgraph, or similar) for building agent-based applications
Strong experience with state management (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications (LLM-as-judge, deterministic evaluators)
Strong prompt engineering skills with experience in optimization, externalization, and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with MCP/tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills with production-grade code quality
Understanding of cloud platforms (GCP, AWS, or Azure) and common services
Knowledge of containerization and container orchestration concepts
Understanding of CI/CD concepts and experience integrating applications into CI/CD pipelines
Understanding of networking, security (authentication, authorization), and observability concepts
Ability to collaborate with infrastructure teams on deployment requirements
Customer-facing experience with enterprise customers (preferred)
Experience conducting technical assessments or code reviews
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant agent solutions
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation

Responsibilities

Agent Engineering & Development: Design multi-agent systems with Subagents/Handoffs/Router patterns, implement agent logic using langchain/langgraph, design comprehensive evaluation frameworks, optimize prompts with A/B testing, implement state management (short-term and long-term memory), and design RAG patterns with vector store integration
Deployment & Operations: Guide customers on agent deployment and configuration management, integrate agents into CI/CD pipelines, collaborate with Solution Architects on infrastructure requirements, and set up observability using LangSmith
Customer Engagement & Assessment: Lead agent engineering maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Solution Architects, Engagement Managers, and Product/Engineering teams