Agentic AI Engineer
Core
Build Traditional AI/ML and Generative AI agent-based systems to move revenue, conversion, and retention for an ERP Services business.
Role type
Agentic AI Engineer (Gen AI & Traditional ML)
Builds
Autonomous agents, GenAI solutions, AI-driven tools for code generation and documentation, and enterprise integrations.
Domain
Enterprise ERP Services, Generative AI, Large Language Models
Deliverable
production ML models | product features
Required skills
Python (async, modular design), LLM orchestration (LangChain, LangGraph, AutoGen, CrewAI), RAG architectures, vector databases (Pinecone, FAISS, Weaviate), cloud deployment (AWS, Azure, GCP), data preprocessing, prompt engineering, API integration.
Preferred skills
Experience with specific LLM providers (OpenAI, Bedrock, Vertex), containerization (Docker), CI/CD pipelines.
Technologies
LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, OpenAI, Gemini, Vertex, Bedrock, Anthropic, Mistral, AutoGen, CrewAI, Docker, AWS, Azure, GCP, Pinecone, FAISS, Weaviate, NetSuite, GitHub.
Responsibilities
Design and optimize prompts for multi-step reasoning; build and manage agent ecosystems interacting with APIs and databases; deploy GenAI solutions on cloud platforms; integrate GenAI services with enterprise platforms; develop AI-driven tools for automation and knowledge retrieval; collaborate with DevOps teams on deployment.
Seniority
Mid-to-Senior, high-ownership IC
