GENAI Engineer- Python

Agentic AI Developer (Python)

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

Requirements

• Experience in software development in Python3
• Decent understanding of the software development/testing life cycle
• Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)
• 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)

BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).