Position-AI Engineer - Senior/Lead/Principal
Exp-3- 5yrs Senior; 5 - 8yrs Lead; 8+yrs Principal
Work Mode: Hybrid
Work Location: Whitefield ITPL
Position Summary
We are seeking an AI Engineer with 3–12 years of experience to design, build, and operationalize enterprise‑scale AI and Generative AI solutions in a fast‑moving business environment. This role requires solid hands‑on engineering capability , combined with architectural judgment and end‑to‑end ownership of AI systems.
The role focuses on production‑grade AI delivery , Generative AI platforms , Agentic AI systems , and MLOps/LLMOps practices , ensuring solutions are scalable, secure, cost‑effective, and well‑governed. A key expectation is the ability to rapidly convert business problems into AI‑enabled workflows, co‑pilot experiences, and intelligent automation using both code‑driven and low‑code/no‑code approaches.
Key Responsibilities
AI & Generative AI Engineering
Design, develop, and deploy AI and Generative AI applications for enterprise use cases.
Build and optimize LLM‑based solutions ,



including prompt engineering, context design, RAG pipelines, vector search, embeddings, and evaluation frameworks.
Integrate foundation models (Open AI, Anthropic, Gemini, and open‑source LLMs) into production systems with appropriate reliability, safety, and cost controls.
Agentic AI & Workflow Automation
Design and implement agentic AI workflows , including single‑agent and multi‑agent systems , to solve complex business problems.
Build autonomous and semi‑autonomous agent workflows with tool/function calling, orchestration logic, state management, and human‑in‑the‑loop controls.
Create AI co‑work and co‑pilot solutions that augment business users and teams, enabling faster decision‑making and execution.
Leverage low‑code / no‑code and orchestration platforms (e.g., Claude‑based workflows, n8n, similar automation tools) to rapidly assemble, iterate, and deploy AI‑powered workflows in high‑velocity environments.
MLOp

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