Join BeaconFire as a Senior Agentic AI Developer to build intelligent, tool-using agents and Vertex AI-powered RAG systems. You'll take end-to-end ownership of AI applications, from data ingestion to deployment. Strong experience in Python, RAG systems, and agentic frameworks is required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
🚀 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
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✅ 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
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⭐ 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
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🌍 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!
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