Agentic AI Engineer – Production RAG & Multi-Agent

iROW9 INC

Minnesota

Hybrid

USD 110,000 - 160,000

Full time

14 days+
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Job summary

iROW9 INC. is seeking an AI Developer to build production-grade Agentic AI and RAG solutions for an enterprise AI platform. The role emphasizes LangGraph/LangChain, multi-agent orchestration, Python/FastAPI, and LLM evaluation, with Azure experience as a plus. Location is Hybrid/Onsite in Minnesota.

The candidate will deliver end-to-end RAG pipelines, multi-agent systems, and containerized services, working with React/Next.js frontends and enterprise data sources.

Qualifications

  • 4-6 years of hands-on software engineering experience, including 2-3 years building LLM/Agentic AI solutions.
  • Proven experience shipping production RAG systems with real users and real retrieval-quality challenges.
  • Strong code-level experience with LangGraph, LangChain, AutoGen, Microsoft Agent Framework, Semantic Kernel, CrewAI, or comparable agent frameworks.
  • Strong Python development skills with FastAPI, async programming, and API design.
  • Experience with RAG, embeddings, vector stores, hybrid search, grounding and citations.
  • Experience with LLM prompt engineering, structured outputs, evaluation and quality control.
  • Ability to work independently, learn rapidly, and deliver production software.
  • Working proficiency with React/Next.js and TypeScript.

Responsibilities

  • Build and maintain end-to-end production RAG pipelines, including ingestion, parsing, chunking, embeddings, vector/hybrid search, reranking, grounding, and citations.
  • Develop multi-agent systems using supervisor/specialist patterns, tool calling, agent state, and agent-to-agent communication.
  • Build and govern MCP tool contracts for retrieval and operational data.
  • Develop LLM evaluation and quality frameworks, including prompt versioning, regression testing, retrieval/answer evaluation, and hallucination control.
  • Design async Python/FastAPI services with OpenAPI-native APIs for AI, agent, and retrieval capabilities.
  • Build AI-powered user experiences using React/Next.js and TypeScript.
  • Integrate enterprise data sources including Microsoft Graph, SharePoint, HRIS/LMS platforms.

Skills

LLM/Agentic AI
Python
FastAPI
Async programming
API design
React/Next.js
TypeScript
LangGraph
LangChain
AutoGen
Microsoft Agent Framework
Semantic Kernel
CrewAI
Azure AI (preferred)

Tools

pgvector
FAISS
Pinecone
PostgreSQL
Redis

Job description

iROW9 INC. is seeking an AI Developer to build production-grade Agentic AI and RAG solutions for an enterprise AI platform. The role emphasizes LangGraph/LangChain, multi-agent orchestration, Python/FastAPI, and LLM evaluation, with Azure experience as a plus. Location is Hybrid/Onsite in Minnesota.

The candidate will deliver end-to-end RAG pipelines, multi-agent systems, and containerized services, working with React/Next.js frontends and enterprise data sources.

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