Lead GenAI Engineer (Pune)

Lead GenAI Engineer (Pune)

17 Sep
|
Ascendion
|
Pune

17 Sep

Ascendion

Pune

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





- Solid 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

📌 Lead GenAI Engineer (Pune)
🏢 Ascendion
📍 Pune

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