Gen AI /Agentic AI Engineer

Role & responsibilities

The ideal candidate will have hands-on experience developing applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and enterprise AI platforms. This role involves designing, developing, and deploying intelligent AI agents that can reason, plan, act, and integrate with enterprise systems to automate business processes and enhance user productivity.

Preferred candidate profile

• Design and develop enterprise-grade GenAI and Agentic AI applications.
• Build autonomous and semi-autonomous AI agents capable of reasoning, planning, and executing complex workflows.
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.
• Integrate LLMs with internal systems, APIs, databases, and business applications.
• Create multi-agent orchestration frameworks for complex business use cases.
• Develop copilots, virtual assistants, and AI-powered decision-support systems.
• Fine-tune prompts and optimize model performance, latency, and cost.
• Build secure, scalable, and production-ready AI services and APIs.
• Collaborate with product managers, architects, and domain experts to define AI solution roadmaps.
• Evaluate emerging GenAI technologies and recommend their adoption.