Lead GenAI Engineer
Ascendion · Pune Division, Maharashtra, India
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Ascendion · Pune Division, Maharashtra, India
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