Job Description
Location: Hyderabad
Level: Lead
Role Summary
As the Gen AI Lead, you will spearhead our organization's Generative AI strategy, moving beyond simple API integrations to build sophisticated, production-grade AI systems. You will lead a cross-functional team of engineers and data scientists to architect Agentic AI frameworks, optimize RAG (Retrieval-Augmented Generation) pipelines, and ensure our AI solutions are ethical, scalable, and secure
Key Responsibilities
Architecture & Design: Lead the design of multi-agent systems using frameworks like LangChain, AutoGen, or Semantic Kernel.
Model Engineering: Oversee the fine-tuning of Large Language Models (LLMs) and Small Language Models (SLMs) using techniques like LoRA/QLoRA for domain-specific accuracy.
LLMOps & Scalability: Establish robust deployment pipelines (CI/CD for AI), ensuring model monitoring, versioning, and cost-efficient scaling in the cloud (AWS/Azure/GCP).
Governance & Ethics: Implement Responsible AI guardrails to mitigate hallucinations, bias, and data leakage, ensuring compliance with emerging AI regulations.
Cross-Functional Leadership: Act as the primary technical SME for executive stakeholders, translating AI hype into measurable ROI and business outcomes.
Required Technical Skills
Core AI: Deep expertise in Transformer architectures, Diffusion models, and Vector Databases (e.g., Pinecone, Chroma, Milvus).
Programming: Mastery of Python and frameworks like PyTorch or TensorFlow.
Agentic Frameworks: Hands-on experience building autonomous agents and complex multi-step workflows.
Data & RAG: Expert-level knowledge of chunking strategies, embedding models, and hybrid search techniques.
Cloud & Infrastructure: Proficiency with Kubernetes, Docker, and AI-specific cloud services (e.g., Azure AI Foundry, AWS Bedrock, Google Vertex AI).
