Gen AI Lead

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 environment.
• Annual learning stipend + certifications support to stay ahead in the GenAI race. Skills: tuning,gen ai,azure,models,aws,architects,enterprise