AI Engineer

We are looking for an experienced AI Engineer with a strong background in Agentic AI development, Generative AI, and Large Language Model (LLM) orchestration. The ideal candidate will design, build, and optimize intelligent autonomous systems and agent workflows for enterprise-grade applications.

Responsibilities:

• Develop and deploy agentic AI systems with task planning, tool orchestration, and context management.
• Design and implement multi-agent workflows using frameworks such as LangGraph, LangChain, Autogen, CrewAI, or Kore.ai Agentic Workbench.
• Build RAG (Retrieval-Augmented Generation) pipelines with embeddings, vector stores, and semantic search optimization.
• Optimize LLM performancereasoning accuracy, hallucination control, and grounding score evaluation.
• Implement system prompts, role prompts, and tool/function calling strategies.
• Integrate AI agents with external enterprise platforms (ServiceNow, SAP, Workday, etc. ).
• Collaborate with cross-functional teams to translate real-world workflows into intelligent AI-powered automation.
• Contribute to internal AI orchestration frameworks and reusable components.

Requirements:

• 4-10 years of software engineering experience.
• Strong hands-on experience in Agentic AI Development (not just API calling).
• Proficiency in Python or Node.js .
• Expertise in LLM orchestration, prompt engineering, context window management, and reasoning optimization.
• Experience with RAG pipelines, vector databases (Pinecone, Chroma, FAISS, MongoDB, ClickHouse, etc. ).
• Understanding of cloud-native environments (AWS, GCP, or Azure) and distributed systems.

Skills

large language model, llm, node.js, nodejs, python, rag, retrieval-augmented generation