Agentic AI Developer (Python)

BeaconFire Inc.; East Windsor Township (NJ); On-site; USD 110,000 - 145,000; Full time

Job summary

BeaconFire Inc. in Central New Jersey seeks an Agentic AI Developer (Python) to build production-ready AI apps using Vertex AI, GCP, and vector databases.

You will design RAG solutions, develop AI agents, and create scalable web applications with Flask or Django. You’ll work on document ingestion pipelines, embeddings, and retrieval workflows while deploying REST APIs and ensuring security and observability.

Qualifications

• Proficient in Python 3 development.
• Experience building RAG-based AI applications.
• Hands-on with Vertex AI and Google Cloud Platform (GCP).
• Familiarity with vector search concepts and vector databases.

Responsibilities

• Design and build production-grade RAG (Retrieval-Augmented Generation) solutions using Google Vertex AI.
• Develop intelligent AI agents capable of tool calling, planning, structured outputs, and reasoning.
• Build scalable web applications using Python, Flask, and Django.
• Design document ingestion pipelines, embeddings, chunking strategies, hybrid search, reranking, and retrieval workflows.
• Develop REST APIs and deploy AI applications to production with monitoring, CI/CD, security, and observability best practices.
• Work with vector databases, knowledge graphs, and graph databases to improve retrieval quality.
• Evaluate and optimize AI systems using retrieval metrics, grounding checks, hallucination detection, and answer quality evaluations.
• Collaborate with engineering teams through code reviews, testing, technical documentation, and sprint planning.
• Stay current with emerging AI technologies, frameworks, and industry best practices.

Skills

Python

RAG-based AI apps

Vertex AI

Google Cloud Platform

LangGraph

LangChain

Semantic Kernel

AutoGen

Vector databases

MySQL

PostgreSQL

Git

Software lifecycle

Education

Master's Degree

Job description

Agentic AI Developer (Python) Opportunity @ BeaconFire

Build the Future of AI with BeaconFire!

Are you passionate about Generative AI, Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG)?

BeaconFire, based in Central New Jersey, is a leading Software Development, Web Development, and Business Intelligence company. We're looking for an Agentic AI Developer (Python) who is excited to build production-ready AI applications using Vertex AI, Google Cloud Platform (GCP), vector databases, and intelligent AI agents.

If you're eager to work on cutting-edge AI technologies and solve real-world challenges, we'd love to hear from you!

• Design and build production-grade RAG (Retrieval-Augmented Generation) solutions using Google Vertex AI.


• Develop intelligent AI agents capable of tool calling, planning, structured outputs, and reasoning.


• Build scalable web applications using Python, Flask, and Django.


• Design document ingestion pipelines, embeddings, chunking strategies, hybrid search, reranking, and retrieval workflows.


• Develop REST APIs and deploy AI applications to production with monitoring, CI/CD, security, and observability best practices.


• Work with vector databases, knowledge graphs, and graph databases to improve retrieval quality.


• Evaluate and optimize AI systems using retrieval metrics, grounding checks, hallucination detection, and answer quality evaluations.


• Collaborate with engineering teams through code reviews, testing, technical documentation, and sprint planning.


• Stay current with emerging AI technologies, frameworks, and industry best practices.

What We're Looking For:

• Strong experience with Python 3 development.


• Experience building RAG-based AI applications.


• Hands‑on experience with Google Vertex AI and Google Cloud Platform (GCP).


• Familiarity with at least one AI agent framework such as:


• LangGraph


• LangChain


• Semantic Kernel


• AutoGen


• Experience with vector search concepts and vector databases.


• Knowledge of relational databases such as MySQL or PostgreSQL.


• Experience using Git and following modern software engineering best practices.


• Strong understanding of software development, testing, and deployment lifecycles.

Preferred Qualifications:

• Master's Degree in Computer Science, Software Engineering, or a related field.


• 1+ year of professional experience with Python, Flask, or Django.


• Familiarity with AWS or Google Cloud Platform.


• Experience with:


• Kafka or Pub/Sub


• Document AI


• Knowledge Graphs


• RAG evaluation tools (RAGAS, TruLens)


• React or Next.js integration

• Hands‑on experience with Vertex AI & Google Cloud Platform


• Build enterprise-scale AI applications used in production


• Collaborative, innovative, and growth-focused engineering culture


• Excellent learning and career development opportunities

If you're passionate about Generative AI, LLMs, RAG, and Agentic AI, we'd love to connect with you.

Let's build intelligent AI solutions together!