AI Engineer

AI Engineer – Lang Chain

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 and understanding of cloud infrastructure and deployment patterns.

• 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 Lang Smith.
• 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.

• 5+ years of experience in software development with 2+ years focused on AI/ML applications or agents.
• Customer‑facing experience is preferred.
• 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 Type Script 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.

Location:

SF or NY Preferred. US Remote Ok

Compensation: $160K - $180K