Agentic AI Python Engineer — RAG & Vector DB

BeaconFire Inc.; Illinois; On-site; USD 120,000 - 170,000; Full time

Job summary

Beaconfire is hiring an Agentic AI Python Developer to design and deploy end-to-end agentic workflows, including ingestion, retrieval, orchestration, evaluation and deployment.

You will build high-quality web applications using Python, Flask/Django, and related technologies, with emphasis on RAG pipelines on Google Cloud/Vertex AI, vector databases, and tool-use frameworks. The role requires collaboration, testing, and documentation to deliver scalable AI-enabled solutions.

Qualifications

• Understanding of the software development lifecycle.
• Experience with relational databases and SQL.
• Experience with version control tools, such as Git.
• Experience building RAG solutions (hybrid search, reranking, chunking strategies).
• Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
• Solid knowledge of vector search concepts and at least one vector DB in production.

Responsibilities

• Collaborate to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
• Write clean and efficient code, ensuring maintainability and reusability.
• Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
• Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
• Perform code reviews to ensure quality and consistency; conduct testing to ensure reliability.
• Create and maintain technical documentation for web applications; participate in planning, estimation, and prioritization.

Skills

Python

Web frameworks

RAG pipelines

Vector databases

LangChain/LangGraph

Git

CI/CD

Cloud (GCP/AWS)

Education

Master’s Degree in CS/SE

Tools

Vertex AI

GCP

REST APIs

React/Next.js

Job description

Beaconfire is hiring an Agentic AI Python Developer to design and deploy end-to-end agentic workflows, including ingestion, retrieval, orchestration, evaluation and deployment.

You will build high-quality web applications using Python, Flask/Django, and related technologies, with emphasis on RAG pipelines on Google Cloud/Vertex AI, vector databases, and tool-use frameworks. The role requires collaboration, testing, and documentation to deliver scalable AI-enabled solutions.