About The Opportunity

A fast-scaling tech innovator in the Enterprise AI & Generative AI solutions space, we build and deploy next-gen AI applications that drive automation, content intelligence, and decision-making for global enterprises. Our team brings GenAI from research labs to production—architecting scalable models, fine-tuning LLMs, and integrating agentic workflows into real-world business systems across finance, healthcare, and logistics.

Role & Responsibilities

Lead end-to-end GenAI initiatives—from conceptualization to deployment—ensuring alignment with business KPIs and technical scalability.
Design and implement production-grade LLM architectures using frameworks like LangChain, LlamaIndex, and Hugging Face Transformers.
Own model fine-tuning, prompt engineering, RAG pipelines, and vector database integration (FAISS, Pinecone, Weaviate) for enterprise-grade accuracy.
Collaborate with data engineers and cloud architects to deploy models on Azure/AWS/GCP with CI/CD, monitoring,



and auto-scaling capabilities.
Define evaluation metrics, guardrails, and safety protocols for responsible AI deployment across high-compliance industries.
Mentor junior AI engineers and establish GenAI engineering standards—code quality, testing, documentation, and ethical AI practices.

Skills & Qualifications

Must-Have
LangChain
LlamaIndex
Hugging Face Transformers
FAISS
Azure AI Studio
PySpark
LLM Fine-tuning
RAG Architecture
Preferred
Agentic AI Workflows
LangGraph
MLflow

Perks & Culture Highlights

Work on GenAI projects with real client impact—no theoretical sandboxing.
Direct access to leadership and fast-track decision-making in a startup-paced environment.
Annual learning stipend + certifications support to stay ahead in the GenAI race.

Skills: tuning,gen ai,azure,models,aws,architects,enterprise

📌 Gen AI Lead (Chennai)
🏢 CG VAK Software & Exports
📍 Chennai