Agentic AI Engineer

Position: Agentic AI Engineer Location: : NYC , NY(Onsite) Job type: Fulltime Skills- Gen ai , Rag , python Key Responsibilities Design and develop autonomous AI agents and multi-agent systems using LLMs. Build agentic workflows involving reasoning, planning, memory, tool calling, and task execution. Develop applications using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar agent frameworks. Integrate LLMs such as OpenAI, Anthropic Claude, Google Gemini, Llama, and Mistral into enterprise applications. Build RAG (Retrieval-Augmented Generation) pipelines using embeddings, vector databases, document processing, and semantic search. Develop agent tools and integrations using REST APIs, GraphQL, MCP, SDKs, databases, enterprise applications, and third-party services. Implement short-term and long-term agent memory, context management, and state persistence. Develop intelligent workflows for decision-making, task decomposition, planning, and autonomous execution. Design and implement prompt engineering, structured outputs, function/tool calling, and context engineering. Build and optimize vector search solutions using Pinecone, Weaviate, Milvus, Chroma, FAISS, or pgvector. Develop scalable AI services and APIs using Python, FastAPI, Flask, or similar technologies. Deploy AI/ML workloads on AWS, Azure, or GCP. Implement production-grade CI/CD, containerization, monitoring, logging, and observability for AI applications. Evaluate and improve agent performance using LLM evaluation frameworks, automated testing, tracing, and monitoring. Implement responsible AI practices including security, access control, guardrails, hallucination mitigation, and data privacy. Collaborate with software engineers, data scientists, architects, and business stakeholders to convert business requirements into AI-driven solutions. Required Skills Strong programming experience with Python. Hands-on experience building Agentic AI / AI Agent applications. Strong understanding of LLMs, Generative AI, NLP, and Transformer architectures. Experience with LangChain and/or LangGraph. Experience with RAG, embeddings, semantic search, and vector databases. Strong knowledge of prompt engineering and LLM orchestration. Experience with function calling, tool calling, APIs, and agent workflows. Experience with OpenAI, Anthropic, Gemini, Azure OpenAI, AWS Bedrock, or similar LLM platforms. Experience developing REST APIs and microservices. Experience with Git, Docker, Kubernetes, and CI/CD. Strong SQL and database knowledge. Experience with at least one major cloud platform: AWS, Azure, or GCP . Show more Show less