Agentic AI Python Engineer - End-to-End RAG

BeaconFire Inc.; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

BeaconFire Inc. seeks an Agentic AI Python Developer to design and build high quality web apps using Python, Flask, and Django. You will own end-to-end delivery including ingestion, retrieval, agent orchestration, evaluation, and deployment.

You will design RAG pipelines on Google Cloud / Vertex AI, implement tool-calling workflows, and ensure code quality through reviews and testing. Prior experience with vector databases and graph databases is valued.

Qualifications

• Experience building Python web apps with Flask or Django.
• Hands-on with RAG and vector search in production.
• Familiarity with agentic frameworks and tool calls.

Responsibilities

• Collaborate to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
• Write clean code with maintainability and reusability in mind.
• Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking).
• Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs).
• Perform code reviews, testing, and produce technical documentation.
• Participate in project planning, estimation, and prioritization; stay current with new tech.

Skills

Python

Flask

Django

RAG pipelines

vector databases

graph databases

Agentic frameworks

Git

AWS

Vertex AI

Education

Master’s Degree in Computer Science, Software Engineering, or related field

Tools

Vertex AI

LangChain

LlamaIndex

Google Cloud Platform

AWS

Git

Docker

Job description

BeaconFire Inc. seeks an Agentic AI Python Developer to design and build high quality web apps using Python, Flask, and Django. You will own end-to-end delivery including ingestion, retrieval, agent orchestration, evaluation, and deployment.

You will design RAG pipelines on Google Cloud / Vertex AI, implement tool-calling workflows, and ensure code quality through reviews and testing. Prior experience with vector databases and graph databases is valued.