Agentic AI Engineer | Python, RAG & Vector DB

BeaconFire Inc.; Illinois; On-site; USD 100,000 - 150,000; Full time

Job summary

BeaconFire Inc. is seeking an Agentic AI Python Developer to build and deploy high-quality web applications using Python, Flask, and Django. You will design RAG pipelines on Google Cloud / Vertex AI, develop tool-using agents, and own end-to-end delivery from ingestion to deployment.

The role requires experience with vector and graph databases, agentic frameworks, and modern Python tooling. Collaborate across teams in a growth-focused environment and stay current with evolving AI/web

Qualifications

• Understanding of the software development/testing life cycle.
• Knowledge of relational databases (e.g. MySQL, PostgreSQL).
• 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.
• Reliability mindset.

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

Web development

RAG

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Git

CI/CD

Google Cloud

Vertex AI

Vector databases

Graph databases

Education

Master's Degree in Computer Science or related field

Tools

LangGraph

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Vertex AI

GCP

Document AI

Job description

BeaconFire Inc. is seeking an Agentic AI Python Developer to build and deploy high-quality web applications using Python, Flask, and Django. You will design RAG pipelines on Google Cloud / Vertex AI, develop tool-using agents, and own end-to-end delivery from ingestion to deployment.

The role requires experience with vector and graph databases, agentic frameworks, and modern Python tooling. Collaborate across teams in a growth-focused environment and stay current with evolving AI/web