Entry Level Agentic AI Developer (Python)
BeaconFire Inc.
Location
πΊπΈ East Windsor, United States
Type
full_time
Salary
$65kβ$80k
Posted
3w ago
Job Description
π€ Entry Level Agentic AI Developer (Python) Opportunity @ BeaconFire π Location: East Windsor, New Jersey (Onsite) π Visa Sponsorship Available | E-Verified Company π 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! π¨ π» What You'll Be Doing: β’ Design and build production-grade RAG (Retrieval-Augmented Generation) solutions using Google Vertex AI. β’ Develop intelligent AI agents capable of tool calling, planning, structured outputs, and reasoning. β’ Build scalable web applications using Python, Flask, and Django. β’ Design document ingestion pipelines, embeddings, chunking strategies, hybrid search, reranking, and retrieval workflows. β’ Develop REST APIs and deploy AI applications to production with monitoring, CI/CD, security, and observability best practices. β’ Work with vector databases, knowledge graphs, and graph databases to improve retrieval quality. β’ Evaluate and optimize AI systems using retrieval metrics, grounding checks, hallucination detection, and answer quality evaluations. β’ Collaborate with engineering teams through code reviews, testing, technical documentation, and sprint planning. β’ Stay current with emerging AI technologies, frameworks, and industry best practices. β
What We're Looking For
: β’ Strong experience with Python 3 development. β’ Experience building RAG-based AI applications. β’ Hands-on experience with Google Vertex AI and Google Cloud Platform (GCP). β’ Familiarity with at least one AI agent framework such as: β’ LangGraph β’ LangChain β’ LlamaIndex β’ Semantic Kernel β’ AutoGen β’ Experience with vector search concepts and vector databases. β’ Knowledge of relational databases such as MySQL or PostgreSQL. β’ Experience using Git and following modern software engineering best practices. β’ Strong understanding of software development, testing, and deployment lifecycles. π