Lead Gen AI Engineer

Role Overview: - Looking for a hands-on AI Tech Lead / Architect to design and deliver Generative AI and agentic AI solutions

Role involves client engagement, solution architecture, and leading engineering teams, while remaining actively involved in designing and building LLM-powered systems - Ideal candidate combines deep technical expertise in LLM systems with strong solutioning and leadership skills Must-Have: Generative AI & LLM Systems - Strong hands-on experience building LLM-powered applications - Experience with commercial and open-source LLMs (OpenAI, Gemini, Claude, Llama, etc.) - Deep experience designing agentic AI systems using frameworks such as LangGraph, CrewAI, Google ADK, Autogen or similar - Strong expertise in prompt engineering and context engineering - Experience designing RAG pipelines and knowledge-grounded AI systems - Experience integrating LLMs with enterprise APIs, databases, and tools Architecture & System Design - Ability to design end-to-end GenAI architectures for production systems - Experience designing scalable AI services and microservice-based architectures - Strong understanding of LLM orchestration, workflow systems, and multi-agent architectures - Experience designing secure and reliable enterprise AI solutions Leadership & Client Engagement - Experience in client-facing roles, including solution design, technical discussions, and proposal support - Ability to translate business problems into AI solutions - Experience leading engineering teams and mentoring developers - Strong communication and stakeholder management skills Engineering - Strong programming experience in Python - Experience building backend services using FastAPI / Flask / similar frameworks - Experience working with databases such as MongoDB, PostgreSQL, or MySQL - Strong debugging and system problem-solving skills Good-to-Have: - Experience in Healthcare / HealthTech AI applications - Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS) - Experience with LLM fine-tuning or parameter-efficient tuning - Experience with AWS cloud services (Bedrock, EC2, S3, EKS, Lambda) - Knowledge of Docker and Kubernetes - Experience with LLMOps / MLOps pipelines - Familiarity with AI governance, compliance, and responsible AI practices

Responsibilities: - Design and architect enterprise-grade GenAI solutions - Lead technical discovery and solutioning with clients - Define LLM architectures, agent workflows, and data integration strategies - Guide engineering teams on implementation and best practices - Remain hands-on with system design, prototyping, and critical components - Ensure scalability, reliability, and production readiness of AI systems give me boolean