Gen AI Engineer

BeaconFire Inc.; New Jersey; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

BeaconFire Inc. in Central NJ is seeking an agentic AI developer to build and productionize Vertex AI–based RAG systems, and design reliable tool-using agents for web applications. You’ll work with Python, Flask/Django, and modern cloud services to implement end-to-end AI-driven features.

Qualifications include strong Python experience, RAG solutions, and familiarity with vector databases and agent frameworks. The role emphasizes code quality, testing, and observability in production systems.

Qualifications

• Decent 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 (hybrid search, reranking, chunking, embeddings).
• Familiar with at least one agentic framework (LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen).
• Solid knowledge of vector search concepts and at least one vector DB in production.
• Strong engineering practices: code reviews, testing, telemetry, secure‑by‑design.

Responsibilities

• Collaborate to design and develop high quality web applications using Python, Flask, Django.
• Write clean, efficient code and ensure maintainability.
• Design and implement RAG pipelines on Vertex AI (chunking, embeddings, indexing, retrieval, grounding).
• Build agentic workflows with tool use, planning, and guardrails.
• Conduct code reviews and testing to ensure quality and reliability.
• Create and maintain technical documentation for web apps.
• Participate in planning, estimation, and prioritization.

Skills

Python

Flask/Django

Git

RAG pipelines

Vertex AI

Vector databases

Testing

Code reviews

Education

Master’s Degree in Computer Science or Software Engineering

Tools

MySQL

PostgreSQL

Google Cloud Platform (GCP)

Vertex AI

React/Next.js

Git

Docker

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.

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.

Qualifications

• 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 Skills

• 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).

Pay range and compensation package

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