Agentic AI Python Developer

BeaconFire Inc.; Charlotte (NC); On-site; USD 120,000 - 190,000; Full time

Job summary

BeaconFire Inc. seeks an experienced AI developer to build and productionize Vertex AI-based RAG systems, design agentic tools, and work with vector databases. You will own end-to-end delivery: ingestion, retrieval, orchestration, evaluation, and deployment.

Responsibilities include designing web apps with Python, Flask, Django; implementing RAG pipelines on Vertex AI; building agentic workflows; and ensuring code quality, testing, and documentation. Strong cloud experience is required.

Qualifications

• Experience in Python3 software development.
• Understanding of the software development/testing life cycle.
• Knowledge of relational databases (MySQL, PostgreSQL, etc).
• Experience with Git and version control.
• Experience building RAG solutions (hybrid search, embeddings, chunking).
• Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool calling patterns.
• Solid knowledge of vector search concepts and vector DBs in production.
• Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability.

Responsibilities

• Collaborate 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

Python3

RAG pipelines

Agentic frameworks

Vector search

Git

RESTful APIs

Testing & code reviews

Cloud services

Engineering best practices

Education

Master's Degree in Computer Science/Software Engineering

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

LangGraph

Job description

BeaconFire is based in Central NJ, specializing in Software Development, Web Development

and Business Intelligence; looking for a strong agentic AI developer who can build and

productionize Vertex AI-based RAG systems (Vertex AI Search / Vertex AI RAG patterns),

design reliable tool-using agents, and work comfortably with vector databases and graph

databases. You'll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation,

and deployment.

Job 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.

Requirement:

• Experience in software development in Python3.
• Decent understanding of the software development/testing life cycle.
• Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills
• Experience with version control tools, such as Git.
• Experience building RAG solutions (hybrid search, reranking, chunking strategies,
• embeddings, prompt + schema design).
• 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.
• Strong engineering practices: code reviews, testing, telemetry, secure-by-design,
• reliability mindset.

Preferred Qualifications:

• Master's Degree in Computer Science, Software Engineering, or related field.
• 1+ year professional experience in Python web application development with either
• Flask or Django.
• Experience in RESTful API development in Python.
• Understanding of Python web application frameworks such as Flask or Django.
• Experience with Cloud services, such as AWS.
• Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud
• Run/GKE, storage).
• Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
• Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and
• multilingual retrieval.
• Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses),
• prompt/version management.
• Frontend integration (basic React/Next.js) or platform enablement (internal developer
• tooling).