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

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

• 510 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 experience

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Contract