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# Entry Level Agentic AI Developer (Python)

- **Company:** BeaconFire Inc.
- **Location:** Cranbury, NJ, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Continuous Integration, Relational Databases, Software Design Documents, Django Web Framework, Graph Database, Python (Programming Language), PostgreSQL, MySQL, Scrum Methodology, Next.js, Search Technologies, Software Construction, Software Engineering, Google Cloud, Data Ingestion, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Generative AI, Git, Build Management, Information Technology, Apache Kafka, Virtual Agents, Restful APIs
- **Published:** September 12, 2026
- **Apply:** https://www.disabledperson.com/jobs/75105090-entry-level-agentic-ai-developer-python

## About the Role

* 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., * 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, ???? 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

## Description

Are you passionate about Generative AI, Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG)?, * 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.


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