Generative AI Engineer

Location: Gurgaon, Bangalore and Chennai

Experience: 4-8 year

s
Job Overvi

ewWe are seeking a highly skilled and innovative Generative AI Engineer with deep expertise in Cloud Computing to join our growing AI/ML team. In this role, you will be responsible for designing, building, and deploying cutting-edge generative AI solutions (including LLMs, RAG systems, and diffusion models) at scal

e.The ideal candidate bridges the gap between advanced AI research and robust cloud engineering, ensuring our generative models are efficiently trained, fine-tuned, and seamlessly integrated into production-grade cloud environment

s.
Key Responsibilit

ies1. Generative AI Developm

• entDesign, develop, and implement generative AI capabilities using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflo
• ws.Fine-tune, prompt-engineer, and optimize open-source and proprietary models (e.g., Llama, GPT, Claude, Mistral) for specific business use cas
• es.Implement advanced techniques like context window management, vector embeddings, and semantic sear

ch.2. Cloud (GCP) Infrastructure & ML

• OpsArchitect and maintain scalable, secure, and cost-effective cloud infrastructure tailored for AI workloads (compute, storage, and networkin
• g).Build automated end-to-end MLOps pipelines for model training, evaluation, deployment, and monitori
• ng.Optimize model inference (quantization, caching, auto-scaling) to minimize latency and cloud compute cos

ts.3. Data Engineering & Integrat

• ionCollaborate with data teams to design data pipelines that ingest, clean, and format unstructured data for model training and vector databas
• es.Integrate generative AI services with existing enterprise applications via robust AP

Is.4. Governance & Secur

• ityImplement cloud security best practices for AI, ensuring data privacy, guardrails against prompt injections, and compliance with data governance standar