Agentic Engineer
Core
Build and ship production agent capabilities, tools, retrieval components, and evaluation suites for IANS' agentic AI platform and client-facing systems.
Role type
Mid-level IC agentic engineer (LLM systems)
Builds
Production agent runtimes, orchestration steps, RAG components, and developer primitives for external client integration
Domain
AI/ML, Agentic Systems, Data-as-a-Service
Deliverable
production ML models | product features
Required skills
Go, Python, React/TypeScript, LLM agent frameworks (LangChain/LangGraph/LlamaIndex/AutoGen), RAG, vector databases, AWS infrastructure, testing/debugging
Preferred skills
AI observability tooling (LangSmith/Langfuse/Arize/W&B), MCP protocols, production on-call experience, fine-tuning techniques (LoRA/PEFT/RLHF/DPO), open-source contributions, cybersecurity
Technologies
Go, Python, React, TypeScript, LangChain, LangGraph, LlamaIndex, AutoGen, AWS (ECS, Lambda, Bedrock), LangSmith, Langfuse, Arize, W&B
Responsibilities
Implement agent and tool-use patterns with regression coverage; Integrate RAG and structured tool use into enterprise components; Extend benchmarking and observability suites for agent quality; Ship production code across the stack (Go services, Python workflows, React apps); Deploy and operate services on AWS infrastructure; Implement security controls and compliance standards
Seniority
Mid-level, hands-on IC