Agentic AI Python Engineer - RAG & Tool-Use Bots

BeaconFire Inc.; Connecticut; On-site; USD 120,000 - 160,000; Full time

Job summary

BeaconFire Inc. is seeking an Agentic AI Python Developer to own end-to-end delivery of web applications using Python, Flask, Django, and modern AI tooling.

You will design and implement RAG pipelines on Google Cloud / Vertex AI, build agentic workflows, and ensure robust testing, documentation, and production readiness. The role emphasizes collaboration, code quality, and staying current with AI frameworks, vector databases, and cloud services.

Qualifications

• Decent understanding of the software development/testing life cycle.
• Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
• Experience with version control tools, such as Git.
• Experience building RAG solutions and familiarity with agent frameworks.
• Solid knowledge of vector search concepts and at least one vector DB in production.

Responsibilities

• Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
• Write clean and efficient code, and ensure code 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 code quality and consistency.
• Conduct testing to ensure application quality and reliability.
• Create and maintain technical documentation for web applications.
• Participate in project planning, estimation, and prioritization.
• Stay up to date with the latest technologies for Python development.
• Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
• Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.

Skills

Python

Flask

Django

Vector databases

Graph databases

RAG pipelines

APIs

CI/CD

Testing

Documentation

Git

Education

Master’s degree in CS or related field

Bachelor’s degree in CS

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

LangGraph

Vertex AI

Google Cloud

Git

Pub/Sub

Kafka

Job description

BeaconFire Inc. is seeking an Agentic AI Python Developer to own end-to-end delivery of web applications using Python, Flask, Django, and modern AI tooling.

You will design and implement RAG pipelines on Google Cloud / Vertex AI, build agentic workflows, and ensure robust testing, documentation, and production readiness. The role emphasizes collaboration, code quality, and staying current with AI frameworks, vector databases, and cloud services.