Junior Python AI Engineer

BeaconFire Inc.

Charlotte (NC)

On-site

USD 120,000 - 150,000

Full time

2 days ago
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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

Rameez here from Beaconfire. I hope you're doing well! We’re currently hiring for an exciting Agentic AI Python Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment.

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 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:
  • 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,
  • 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.
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
  • Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses),
  • Frontend integration (basic React/Next.js) or platform enablement (internal developer
  • tooling).
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