Lead GenAI Engineer

Ascendion Engineering; Chennai District, Bengaluru; Presencial; INR 5.000.000 - 8.500.000; Jornada completa

Descripción de la vacante

Ascendion Engineering in Chennai is seeking a Lead GenAI Engineer with 7–10 years of experience to drive the design, architecture, and delivery of enterprise-scale GenAI platforms. You will lead production-grade AI systems end-to-end and guide technical strategy.

You will define architecture for GenAI solutions, lead design of RAG systems and agentic workflows, and push adoption of LangChain/LangGraph and LLM orchestration. Strong cloud, Kubernetes and distributed systems experience required.

Formación

• 7–10 years of hands-on GenAI platform experience.
• Proficiency in Python and distributed systems.
• Experience with RAG systems, LLMs, and prompt engineering at scale.
• Expertise in LangChain/LangGraph and agent-based architectures.
• Experience with vector databases and retrieval optimization.
• Experience deploying production-grade GenAI applications on cloud and microservices.

Responsabilidades

• 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.

Conocimientos

Python

GenAI/LLMs

LangChain/LangGraph

Vector databases

Production-grade AI

Cloud & Kubernetes

System design

Herramientas

LangChain

LangGraph

Kubernetes

AWS

GCP/Azure

Descripción del empleo

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