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Entry Level Agentic AI Developer (Python) - RAG & Vertex AI

BeaconFire Inc. United State
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AI Summary

Build production-grade AI applications as an Entry Level Agentic AI Developer, specializing in RAG, Vertex AI, and intelligent agent systems. Design scalable solutions using Python, GCP, and vector databases while collaborating with engineering teams. Requires strong Python, RAG, and Vertex AI experience with a focus on AI agent frameworks and cloud technologies.

Key Highlights
Build production-ready RAG and agentic AI solutions using Vertex AI and Google Cloud Platform
Develop intelligent AI agents with tool calling, planning, and structured reasoning capabilities
Collaborate with engineering teams on AI system design, deployment, and optimization
Key Responsibilities
Design and build production-grade RAG solutions using Google Vertex AI and GCP
Develop intelligent AI agents capable of tool calling, planning, structured outputs, and reasoning
Build scalable web applications using Python, Flask, and Django, and deploy AI applications with CI/CD, security, and observability best practices
Technical Skills Required
Python Google Vertex AI Retrieval-Augmented Generation (RAG)
Benefits & Perks
Visa Sponsorship Available
E-Verified Company
Nice to Have
Master's Degree in Computer Science, Software Engineering, or related field
Experience with AWS or Google Cloud Platform (Cloud Run, GKE, Kafka, Pub/Sub)
Familiarity with React or Next.js integration, Document AI, Knowledge Graphs, and RAG evaluation tools (RAGAS, TruLens)

Job Description


🤖 Entry Level Agentic AI Developer (Python)@ BeaconFire

📍 Location: East Windsor, New Jersey (Onsite)

📄 Visa Sponsorship Available | E-Verified Company


🚀 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!


👨 💻 What You'll Be Doing:

  • Design and build production-grade RAG (Retrieval-Augmented Generation) solutions using Google Vertex AI.
  • Develop intelligent AI agents capable of tool calling, planning, structured outputs, and reasoning.
  • Build scalable web applications using Python, Flask, and Django.
  • Design document ingestion pipelines, embeddings, chunking strategies, hybrid search, reranking, and retrieval workflows.
  • Develop REST APIs and deploy AI applications to production with monitoring, CI/CD, security, and observability best practices.
  • Work with vector databases, knowledge graphs, and graph databases to improve retrieval quality.
  • Evaluate and optimize AI systems using retrieval metrics, grounding checks, hallucination detection, and answer quality evaluations.
  • Collaborate with engineering teams through code reviews, testing, technical documentation, and sprint planning.
  • Stay current with emerging AI technologies, frameworks, and industry best practices.


✅ What We're Looking For:

  • Strong experience with Python 3 development.
  • Experience building RAG-based AI applications.
  • Hands-on experience with Google Vertex AI and Google Cloud Platform (GCP).
  • Familiarity with at least one AI agent framework such as:
  • LangGraph
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • AutoGen
  • Experience with vector search concepts and vector databases.
  • Knowledge of relational databases such as MySQL or PostgreSQL.
  • Experience using Git and following modern software engineering best practices.
  • Strong understanding of software development, testing, and deployment lifecycles.


🎓 Preferred Qualifications:

  • Master's Degree in Computer Science, Software Engineering, or a related field.
  • 1+ year of professional experience with Python, Flask, or Django.
  • Experience developing RESTful APIs.
  • Familiarity with AWS or Google Cloud Platform.
  • Experience with:
  • Cloud Run / GKE
  • Kafka or Pub/Sub
  • Document AI
  • Knowledge Graphs
  • RAG evaluation tools (RAGAS, TruLens)
  • React or Next.js integration


🌟 Why Join BeaconFire?

✅ E-Verified Employer

🌍 Visa Sponsorship Available

🤖 Work on cutting-edge Generative AI & Agentic AI projects

☁️ Hands-on experience with Vertex AI & Google Cloud Platform

💡 Build enterprise-scale AI applications used in production

🤝 Collaborative, innovative, and growth-focused engineering culture

📈 Excellent learning and career development opportunities


📩 Apply Today and Shape the Future of AI with BeaconFire!

If you're passionate about Generative AI, LLMs, RAG, and Agentic AI, we'd love to connect with you.


Let's build intelligent AI solutions together! 🚀


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