Agentic AI Python Engineer: RAG & Vector DB

BeaconFire Inc.; Charlotte (NC); On-site; USD 120,000 - 150,000; Full time

Job summary

BeaconFire Inc. is looking for an Agentic AI Python Developer to own end-to-end delivery on high-impact projects. You’ll design, build, and deploy web applications using Python, Flask, and Django, with hands-on experience in RAG pipelines, vector databases, and agent frameworks.

Collaboration and growth are emphasized in a modern cloud environment. The role involves ingestion, retrieval, agent orchestration, evaluation, and deployment, along with strong focus on testing, documentation, and CI/CD

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 and familiarity with agentic frameworks.
• Solid knowledge of vector search concepts and at least one vector DB in production.
• Reliability mindset and ability to ship end-to-end features.

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

REST APIs

Vector databases

RAG pipelines

LangChain / LangGraph

Git

Testing

CI/CD

Google Cloud

Vertex AI

SQL databases

Education

Bachelor's degree in CS or related

Master's degree preferred

Tools

Git

Docker

VS Code

Job description

BeaconFire Inc. is looking for an Agentic AI Python Developer to own end-to-end delivery on high-impact projects. You’ll design, build, and deploy web applications using Python, Flask, and Django, with hands-on experience in RAG pipelines, vector databases, and agent frameworks.

Collaboration and growth are emphasized in a modern cloud environment. The role involves ingestion, retrieval, agent orchestration, evaluation, and deployment, along with strong focus on testing, documentation, and CI/CD