Senior AI Software Engineer | AI Agents | Python | F2F Interview in NJ - W2 Role
13 days ago
Jersey City
Job DescriptionJob Description Role: Senior AI Software Engineer (Agentic AI / AI Agents) Location: Hybrid Duration: 12+ Months Interview: In-Person Job Summary 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. Required Skills • 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. Responsibilities • 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. Preferred Experience • LangGraph, • MCP (Model Context Protocol), • AI Agent Evaluation Frameworks, • Healthcare, Banking, Insurance, or other regulated industry experienceAdditional Information All your information will be kept confidential according to EEO guidelines.