Agentic AI Python Engineer for RAG & Tooling

BeaconFire Inc.; Town of Florida (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

BeaconFire Inc. is hiring an Agentic AI Python Developer to build reliable tool-using agents and end-to-end delivery, including ingestion, retrieval, orchestration, evaluation and deployment. You will work with Python, Flask, Django, and collaborate on RAG pipelines using Google Cloud/Vertex AI and vector databases.

Ideal candidates have strong Python skills, experience with RAG, agentic frameworks, cloud platforms, and REST APIs, plus a growth mindset in a collaborative environment.

Qualifications

• Understanding of the software development lifecycle.
• Experience with relational databases and REST APIs.
• Familiar with version control tools like Git.
• Knowledge of vector search concepts and at least one vector DB.
• Experience building RAG solutions and agentic frameworks.

Responsibilities

• Design and develop high quality web apps with Python, Flask, Django.
• Write clean, maintainable code and ensure 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).
• Perform code reviews to ensure quality and consistency.
• Conduct testing to ensure reliability and performance.
• Create and maintain technical documentation for web apps.
• Participate in project planning, estimation and prioritization.
• Stay up to date with latest Python technologies and tools.
• Define and run evaluation metrics and improve system quality iteratively.
• Ship to production: APIs, monitoring, CI/CD, security best practices.

Skills

Python development

Flask/Django

Git

Vector DB

RAG pipelines

Agentic frameworks

Cloud platforms

Testing

Education

Master’s Degree in CS/SE

Tools

Vertex AI

GCP

AWS

LangGraph/LangChain

LlamaIndex

Semantic Kernel

AutoGen

React/Next.js

Job description

BeaconFire Inc. is hiring an Agentic AI Python Developer to build reliable tool-using agents and end-to-end delivery, including ingestion, retrieval, orchestration, evaluation and deployment. You will work with Python, Flask, Django, and collaborate on RAG pipelines using Google Cloud/Vertex AI and vector databases.

Ideal candidates have strong Python skills, experience with RAG, agentic frameworks, cloud platforms, and REST APIs, plus a growth mindset in a collaborative environment.