Agentic AI Developer (Python)

🚀 Agentic AI Developer (Python) \| Join BeaconFire

📍 Central NJ (Hybrid/Onsite)

🏢 BeaconFire – Software Development \| Web Development \| Business Intelligence

BeaconFire is looking for a

high-impact Agentic AI Developer

who thrives at the intersection of

AI systems, backend engineering, and production-scale deployment

. If you’re passionate about building

intelligent, tool-using agents

and

Vertex AI-powered RAG systems

, this role puts you at the center of cutting-edge AI innovation.

You’ll take

end-to-end ownership

—from data ingestion to deployment—building scalable, reliable, and production-ready AI applications.

💡 What You’ll Do

• Design and develop

high-quality web applications

using Python, Flask, Django, and modern frameworks

• Architect and implement

RAG pipelines on Google Cloud / Vertex AI

(chunking, embeddings, indexing, retrieval, reranking, grounding)

• Build

agentic workflows

with tool use, planning, guardrails, and structured outputs

• Work with

vector databases and graph databases

to enable advanced retrieval

• Lead

end-to-end system delivery

: ingestion → orchestration → evaluation → deployment

• Define and run

evaluation frameworks

(retrieval metrics, hallucination detection, grounding checks)

• Ensure

production readiness

: APIs, CI/CD, monitoring, observability, and cost optimization

• Collaborate in

code reviews, testing, and architecture discussions

• Create and maintain

technical documentation

• Stay current with emerging trends in

AI/ML and Python ecosystems

✅ What We’re Looking For

• Strong experience in

Python (Python 3)

development

• Solid understanding of

software development lifecycle \& testing practices

• Experience with

relational databases

(MySQL, PostgreSQL, etc.)

• Hands-on experience building

RAG systems

(hybrid search, reranking, embeddings, prompt/schema design)

• Familiarity with

agentic frameworks

(LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen)

• Experience with

vector search and vector databases in production

• Proficiency with

Git/version control systems

• Strong engineering mindset:

clean code, reliability, security, and scalability

⭐ Nice to Have

• Master’s degree in Computer Science or related field
• 1\+ year experience with

Flask or Django

• Experience building

RESTful APIs in Python

• Exposure to

cloud platforms (GCP preferred, AWS acceptable)

• Knowledge of

Vertex AI \& GCP services

(IAM, Cloud Run, GKE, monitoring)

• Experience with

knowledge graphs for RAG

(entity linking, graph-based retrieval)

• Familiarity with

streaming systems

(Kafka, Pub/Sub) and document pipelines

• Experience with

evaluation tools

(RAGAS, TruLens, or custom frameworks)

• Basic

frontend integration

(React/Next.js) or internal tooling experience

🌍 Why Join BeaconFire?

• Work on

next-generation AI systems

with real-world impact

• Opportunity to

own and ship production-grade AI solutions

• Collaborative and innovation-driven environment
• Visa sponsorship available

(E-Verified company)

• Equal opportunity employer committed to diversity and inclusion

📩 Ready to Build the Future of AI?

Apply now or reach out directly to learn more about how you can be part of our growing AI team!