AI Lead

Role Description

We are looking for a hands-on AI Lead or Lead GenAI Engineer to design and implement real-world Generative AI solutions across enterprise use cases. This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven automation, with a focus on POCs → production deployment. Candidates should have experience building and delivering working AI solutions.

Key Responsibilities

• Build and optimize prompt engineering workflows
• Create and execute POCs and scale them to production environments
• Apply AI for automation, testing, validation, and SDLC optimization
• Analyze business requirements and translate them into AI-driven workflows and test strategies
• Set up and manage AI/ML infrastructure on AWS/Azure
• Implement evaluation frameworks to measure LLM performance

Qualifications

• Experience with strong hands-on GenAI / LLM implementation
• Expertise in Prompt Engineering, RAG, Agents, and LLM workflows
• Experience with frameworks/tools like LangChain, LlamaIndex, LangGraph, OpenAI APIs
• Hands-on experience deploying AI solutions on AWS or Azure
• Experience building end-to-end AI applications (POC → production)
• Strong understanding of AI evaluation techniques and model performance tuning

Nice to Have

• Experience applying AI for QA automation, testing, or SDLC optimization
• Familiarity with Selenium, Playwright, or test automation frameworks
• Experience with vector databases (Pinecone, Weaviate, FAISS)