Agentic AI Python Developer
2 - 5 years
Texas, United States
$65k - $80k/year
Full-time
Hybrid
1 month ago
About the role
Hi
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
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:
Requirement:
Preferred Qualifications:
Rameez Khan
Technical Recruiter
Beaconfire
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
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).
Rameez Khan
Technical Recruiter
Beaconfire
Skills
EngineeringIT Services and IT Consulting