Artificial Intelligence Engineer

BeaconFire Inc.; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

BeaconFire Inc. seeks an experienced AI developer to build and productionize Vertex AI-based RAG systems, design tool-using agents, and work with vector and graph databases. You’ll own ingestion, retrieval, orchestration, evaluation, and deployment across end-to-end delivery.

Responsibilities include building web applications with Python, Flask, Django, code quality, testing, documentation, and planning. Requires familiarity with RAG pipelines and cloud services.

Qualifications

• Understanding of the software development/testing lifecycle.
• Experience with relational databases (MySQL, PostgreSQL).
• Experience building RAG solutions and embeddings.
• Familiar with agentic frameworks and tool calling patterns.
• Vector search concepts and at least one vector DB in production.
• Strong engineering practices including code reviews and testing.

Responsibilities

• Collaborate to design and develop high quality Web applications using Python, Flask, Django.
• Write clean, maintainable code and ensure reusability.
• Design and implement RAG pipelines on Vertex AI (embedding, indexing, retrieval).
• Build agentic workflows with tool use, planning, and guardrails.
• Perform code reviews to ensure quality and consistency.
• Conduct testing to ensure reliability and document results.
• Create and maintain technical docs for web apps.
• Participate in planning, estimation, and prioritization.
• Stay updated with latest Python technologies and practices.
• Ship APIs, monitoring, cost/performance optimization, CI/CD, security.

Skills

Python

Web app development

RAG solutions

Vector databases

Agentic frameworks

Code quality & testing

Cloud services

Vertex AI

REST APIs

Education

Master’s degree in CS or related field

Tools

Git

Flask

Django

MySQL/PostgreSQL

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Vertex AI / GCP

React/Next.js

Pub/Sub / Kafka

Job description

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence.

About the Role

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.

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).