Lead GenAI Engineer

Role Overview

We are hiring a Lead GenAI Engineer with 7–10 years of experience to drive the design, architecture, and delivery of enterprise-scale GenAI platforms. This role requires strong technical leadership and proven experience in building production-grade AI systems end-to-end .

Key Responsibilities

• •Define architecture and technical strategy for GenAI platforms and solutions
• •Lead design and implementation of complex RAG systems and agentic workflows
• •Drive adoption of LangChain / LangGraph and advanced LLM orchestration frameworks
• •Architect high-performance vector search and retrieval systems
• •Oversee deployment strategies, including scalable cloud-native architectures
• •Ensure reliability, observability, and governance of AI systems in production
• •Lead and mentor engineering teams; conduct design reviews and code reviews
• •Collaborate with stakeholders to align AI solutions with business goals
• •Evaluate and integrate new tools, models, and frameworks in the GenAI ecosystem

Required Skills

• •Expert-level proficiency in Python
• •Extensive experience with RAG, LLMs, and prompt engineering at scale
• •Strong expertise in LangChain / LangGraph and agent-based architectures
• •Deep experience with Vector Databases and retrieval optimization
• •Proven track record of deploying production-grade GenAI applications
• •Strong experience with cloud (AWS/GCP/Azure), Kubernetes, and microservices architecture
• •Solid understanding of system design, scalability, and distributed systems

Preferred Qualifications

• •Experience leading GenAI/AI transformation initiatives
• •Strong knowledge of LLMOps, MLOps, and governance frameworks
• •Exposure to fine-tuning, evaluation frameworks, and guardrails
• •Prior experience in client-facing or consulting roles

Common Must-Have Across All Roles

• •Must have worked on at least one productionized AI/GenAI application
• •Should have been involved in the end-to-end lifecycle:
• •Problem definition → Data → Model → RAG → Deployment → Monitoring
• •Strong ownership mindset and ability to work in fast-paced environments

Skills: Kubernetes, System Design, Distributed Systems, Scalability, Python

Experience: 7.00-10.00 Years