Senior AI Developer
Core
Design, implement, and manage end-to-end Agentic AI workflows and microservices to improve client delivery approaches.
Role type
Senior AI Developer (Agentic AI & MLOps)
Builds
Production-ready Agentic AI solutions, scalable AI microservices, and automated MLOps pipelines
Domain
Artificial Intelligence, Agentic Workflows, MLOps, Enterprise Software
Deliverable
production ML models | product features
Required skills
Agentic AI workflow design, LLM framework expertise (LangChain, LangGraph), Context/Prompt Engineering, RAG patterns, Vector DBs (Pinecone, Milvus), Graph DBs (Neo4j), Agent Authorization mechanisms, Responsible AI guardrails, MLOps pipeline design, Model evaluation (RAGAS, LLM-as-a-judge), Observability/tracing (Langfuse), Technical leadership, Architecture review
Preferred skills
Experience with Agent-to-Agent (A2A) and Agent-to-UI (AG-UI) interactions, Advanced communication pattern design
Technologies
LangChain, LangGraph, Pinecone, Milvus, Neo4j, RAGAS, Langfuse
Responsibilities
Analyze AI capabilities to create stakeholder-compliant solutions; Own end-to-end delivery of Agentic AI solutions including development, testing, and release; Conduct technical reviews to enforce software and AI best practices; Research and integrate new AI libraries and engineering methodologies; Design and oversee scalable AI microservices architecture; Translate technical requirements into robust AI logic; Create technical documentation for AI architectures and agent networks; Coach team members on Generative AI best practices; Collaborate with DevOps to build automated MLOps pipelines; Promote best practices for reliable AI systems
Seniority
Senior, hands-on IC with technical leadership
