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# AI Engineer - Titusville, NJ (Hybrid - 2 Days Onsite)

- **Company:** OMG, Inc.
- **Location:** Summit, NJ, United States
- **Experience:** Experienced
- **Contract:** Temporary to permanent
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Information Engineering, Python (Programming Language), Performance Tuning, OpenAI, Cloud Services, Software Engineering, Systems Integration, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Scikit Learn, CrewAI, AutoGen, Artificial Intelligence Governance, Restful APIs, Semantic Kernel
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1254bc7c397ac183

## About the Role

We are looking for an experienced AI Engineer with strong hands-on experience in Generative AI, Agentic AI, RAG, and LLM-based applications. The ideal candidate should have strong Python programming skills and experience building and integrating AI solutions into enterprise systems., * 6+ years of experience in software engineering, AI/ML, data engineering, or related fields.

 * Minimum 2+ years of hands-on experience with Generative AI solutions.
 * Strong experience developing AI Agents, Agentic Workflows, RAG, and LLM applications.
 * Experience with LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
 * Hands-on experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, or OpenAI APIs.
 * Knowledge of prompt engineering, fine-tuning, model evaluation, and AI guardrails.
 * Experience integrating AI applications with REST APIs, databases, and cloud platforms.
 * Strong Python programming skills and familiarity with AI/ML libraries.
 * Good communication and problem-solving skills.

## Description

* Design, develop, and deploy Generative AI and LLM-powered applications.
 * Build AI Agents and Agentic Workflows to automate business processes.
 * Develop and optimize RAG architectures for enterprise use cases.
 * Implement AI solutions using LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks.
 * Integrate LLMs using Azure OpenAI, AWS Bedrock, OpenAI APIs, or other GenAI platforms.
 * Develop Python-based AI applications and integrate them with REST APIs, databases, and cloud services.
 * Implement prompt engineering, model evaluation, guardrails, and responsible AI practices.
 * Optimize AI applications for performance, accuracy, scalability, and reliability.
 * Collaborate with cross-functional teams to understand business requirements and deliver AI solutions.