Artificial Intelligence Engineer

BeaconFire Inc.; New Jersey; On-site; USD 140,000 - 200,000; Full time

Job summary

BeaconFire Inc. is seeking a strong AI developer to build and productionize Vertex AI–based RAG systems, design reliable tool-using agents, and work with vector and graph databases. You will own end-to-end delivery from ingestion to deployment in robust web applications.

The role requires building RAG pipelines, agentic workflows, and ensuring code quality through reviews, testing, and documentation. Expect collaboration across teams and ongoing learning of cutting-edge technologies.

Qualifications

• Strong understanding of SDLC and testing lifecycle.
• Experience with relational databases (MySQL, PostgreSQL).
• Experience with version control tools such as Git.
• Experience building RAG solutions (hybrid search, embeddings, chunking).
• Familiar with agentic frameworks and tool calling patterns.
• Knowledge of vector search concepts and vector DBs in production.

Responsibilities

• Design and develop Web applications using Python frameworks.
• Implement RAG pipelines on Vertex AI including embeddings and indexing.
• Build agentic workflows with tool use and planning features.
• Conduct code reviews and testing to ensure quality.
• Create technical docs and participate in planning and estimation.
• Ship production APIs with monitoring, CI/CD, and security best practices.

Skills

Python

Web development

RAG

Vertex AI

Vector databases

Agentic frameworks

Git

REST APIs

Testing/QA

Cloud (GCP/AWS)

Education

Master’s Degree in CS/Software Eng

Tools

Flask

Django

Vertex AI/Google Cloud

LangChain / LangGraph

LlamaIndex

Graph/Vector DBs

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:

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