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)
Design RAG patterns with vector store integration
Guide customers on agent deployment and configuration management
Integrate agents into CI/CD pipelines
Collaborate with Solution Architects on infrastructure requirements
Set up observability using LangSmith
Lead agent engineering maturity assessments
Work directly with enterprise customers to understand requirements and present recommendations
Partner with Solution Architects, Engagement Managers, and Product/Engineering teams

5+ years of experience in software development
2+ years focused on AI/ML applications or agents
Customer-facing experience preferred
2+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (langchain/langgraph, or similar)
Strong experience with state management (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
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
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

AI Engineer

Key skills