BeaconFire Inc.💼 Job Title: Agentic AI Engineer (Python)
📍 Location: Central New Jersey
🏢 Company: BeaconFire Inc.
🕒 Job Type: Full-Time
🌍 Visa Sponsorship: Available (E-Verified Employer) 🔹 About Us
BeaconFire Inc. is a New Jersey–based technology consulting firm specializing in software development, web development, and business intelligence solutions. We are seeking a skilled Agentic AI Engineer to design and productionize advanced AI systems using modern RAG and agent-based architectures. 🔹 Role Overview
As an Agentic AI Engineer, you will own the end-to-end development of RAG-based AI systems on Google Cloud Vertex AI. This includes ingestion pipelines, retrieval systems, agent orchestration, evaluation, and deployment. You will work with modern AI frameworks and databases to build scalable, production-ready intelligent systems. 🔧 Key Responsibilities
Design and develop high-quality web applications using Python, Flask, and Django
Build and optimize RAG pipelines (chunking, embeddings, indexing, retrieval, reranking, grounding)
Develop agentic workflows (tool usage, planning, guardrails, structured outputs)
Conduct code reviews and ensure maintainable, reusable code
Perform testing to ensure system reliability and performance
Create and maintain technical documentation
Collaborate on project planning, estimation, and prioritization
Define and run evaluation frameworks (retrieval metrics, hallucination checks, answer quality)
Deploy production systems (APIs, CI/CD, monitoring, cost optimization, security best practices) ✅ Basic Qualifications
Strong experience in Python (Python 3) development
Understanding of software development lifecycle and testing practices
Knowledge of relational databases (e.g., MySQL, PostgreSQL)
Experience with version control tools like Git
Hands-on experience building RAG systems (hybrid search, reranking, embeddings, prompt design)
Familiarity with at least one agentic framework such as:
Solid understanding of vector search and experience with at least one vector database
Strong engineering practices (testing, telemetry, secure design, reliability mindset) 🎯 Preferred Qualifications
Master’s degree in Computer Science or related field
Experience with Flask or Django web frameworks
Familiarity with cloud platforms such as AWS or GCP
Experience with Google Cloud Vertex AI and GCP services (IAM, Cloud Run, GKE, logging/monitoring)
Knowledge of graph-based RAG (entity linking, traversal, retrieval fusion)
Experience with streaming tools (Pub/Sub, Kafka) and document pipelines
Familiarity with evaluation tools (RAGAS, TruLens) and prompt/version management
Exposure to frontend frameworks (React, Next.js) or internal tooling 🎯 Why Join Us?
💼 Competitive compensation and growth opportunities
🌍 Visa sponsorship available
🤝 Collaborative and innovative team environment
📈 Work on cutting-edge AI and LLM systems
🚀 Opportunity to build production-grade agentic AI solutions.
Interested in this role?