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

Benefits &

- 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 setting.
- Annual learning stipend + certifications support to stay ahead in the GenAI race.

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

📌 Gen AI Lead (Pune)
🏢 CG-VAK Software u0026 Exports
📍 Pune