What are the responsibilities and job description for the Agentic AI Developer (Python) position at BeaconFire Inc.?
đ Agentic AI Developer (Python) | Join BeaconFire
đ Central NJ (Hybrid/Onsite)
đ˘ BeaconFire â 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 youâre 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.
Youâll take end-to-end ownershipâfrom data ingestion to deploymentâbuilding scalable, reliable, and production-ready AI applications.
đĄ What Youâll 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 â orchestration â evaluation â 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
â What Weâre 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
â Nice to Have
- Masterâs 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
đ 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
đŠ 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!