Lead GenAI Engineer (Application Development)

Lead GenAI Engineer (Application Development) to design and implement AI-powered enterprise-grade applications, lead cross-functional engineering teams, and drive technical decision-making.

Requirements

• 7–12+ years of experience
• Proven experience in developing and deploying GenAI applications in production
• Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment
• Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations
• Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains
• Strong prompt engineering and Chain-of-Thought optimization capabilities
• Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines
• Expertise in the AI/ML model lifecycle — from development and deployment to monitoring
• Experience integrating AI/ML solutions into enterprise-grade web or mobile applications
• Strong background in full-stack development (MERN or equivalent stack)
• Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities
• Proficiency in API development (REST, GraphQL) and microservices architecture
• Experience deploying solutions across on-premises, cloud, and hybrid environments
• Kubernetes for container orchestration and deployment management
• Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB)
• Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation
• Hands-on experience with AWS/Azure/GCP cloud environments and ML services
• Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents
• Understanding of hybrid architecture design integrating AI/ML systems
• Successful delivery of 7+ enterprise or AI/ML-driven applications
• Demonstrated leadership experience managing cross-functional technical teams
• Ability to deliver high-quality, scalable, and secure solutions under tight timelines