About the role
We are looking for a Senior Agentic AI Engineer with 8-12 years of experience to design, build, and deploy intelligent AI agents and agentic systems. The ideal candidate should have strong hands-on experience in Agentic AI, LLMs, RAG, AI agents, and orchestration frameworks.
Responsibilities:
- Design and develop Agentic AI systems that can reason, plan, use tools, and complete complex tasks autonomously.
- Build and deploy AI agents and multi-agent workflows using LLMs.
- Work with LLMs, RAG pipelines, prompt engineering, tool/function calling, and memory systems.
- Develop scalable AI solutions using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.
- Integrate AI agents with APIs, databases, enterprise applications, and external tools.
- Improve agent performance, reliability, accuracy, and response quality.
- Design evaluation frameworks and monitor AI/agent performance in production.
- Collaborate with product, engineering, and data teams to convert business problems into AI-driven solutions.
- Mentor junior engineers and contribute to technical architecture and best practices.
Requirements:
- 8-12 years of software/AI engineering experience.
- Mandatory: Strong hands-on experience in Agentic AI / AI Agents.
- Strong experience with LLMs and Generative AI.
- Hands-on experience building multi-agent systems and autonomous workflows.
- Strong knowledge of RAG, embeddings, vector databases, and semantic search.
- Experience with Prompt Engineering and LLM orchestration.
- Experience with tool/function calling and API integrations.
- Strong programming skills in Python.
- Experience with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
- Good understanding of AI system architecture, scalability, and production deployment.
- Experience with cloud platforms such as AWS, GCP, or Azure.