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

TMS LLC

Jersey City, NJ, United States

29 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

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

+12 more

Software Engineering Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Backend Fastapi AI Platforms Kubernetes Machine Learning Operations Virtual Agents Docker

Job 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.

Requirements

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