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# Senior AI Software Engineer | AI Agents | Python | F2F Interview in NJ

- **Company:** TMS LLC
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Fault Tolerance, Monitoring of Systems, Python (Programming Language), Performance Tuning, Role-Based Access Control, Search Technologies, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Fastapi, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Docker
- **Published:** August 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3668b042918b2d60

## About the Role

We are seeking a hands-on Senior AI Software Engineer with strong experience in designing, building, and deploying production-grade Agentic AI systems. The ideal candidate should have expertise in developing AI Agents capable of multi-step reasoning, tool orchestration, Retrieval-Augmented Generation (RAG), and secure enterprise AI solutions.

This is NOT a traditional Java/.NET Full Stack or chatbot integration role. We are specifically looking for engineers with real-world production experience building AI Agents using Python and modern Agentic AI frameworks., * 5-10+ years of Software Engineering experience.

 * Strong hands-on experience with Python and backend development (FastAPI preferred).
 * Experience building and deploying production AI Agents / Agentic AI applications.
 * Strong experience with LangGraph, LangChain, CrewAI, AutoGen or similar AI Agent frameworks.
 * Hands-on experience with:
 + Retrieval-Augmented Generation (RAG)
 + AI Agent Architecture
 + Multi-Agent Systems
 + Tool Calling / Function Calling
 + Agent Memory
 + Prompt Engineering
 + Embeddings
 * Experience with Vector Databases such as Pinecone, FAISS, Weaviate, ChromaDB, or Azure AI Search.
 * Experience deploying LLM applications using OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Google Vertex AI, or Llama models.
 * Strong experience with Docker, Kubernetes, CI/CD, LLMOps, Monitoring & Observability.
 * Experience working on AWS, Azure, or GCP.
 * Strong understanding of AI Security, Guardrails, Prompt Injection Protection, PII Handling, RBAC, and Responsible AI., * LangGraph
 * MCP (Model Context Protocol)
 * AI Agent Evaluation Frameworks
 * Healthcare, Banking, Insurance, or other regulated industry experience

## Description

* Design and develop enterprise-scale Agentic AI solutions.
 * Build AI Agents capable of planning, reasoning, tool usage, and multi-step task execution.
 * Develop reusable AI Agent frameworks, SDKs, and RAG pipelines.
 * Build secure AI services with proper guardrails, approval workflows, retries, and fault tolerance.
 * Implement production LLMOps, monitoring, evaluation, observability, and performance optimization.
 * Collaborate with Product Managers, Data Scientists, and Engineering teams to deliver scalable AI platforms.


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