GenAI Engineer – LLM, RAG, Agentic AI & MLOps

About the role

This role involves designing, fine-tuning, and implementing large language models (LLMs), retrieval-augmented generation (RAG) systems, and multimodal agents, with a focus on delivery, performance, and operational security. The ideal candidate will leverage extensive experience in Python, cloud platforms, and AI frameworks, collaborating across teams to innovate and provide scalable, secure AI solutions that support business growth.

What you'll do

• Lead the design, training, and deployment of large language models and multimodal agents supporting enterprise automation and insights
• Develop scalable AI pipelines supporting real-time inference, retraining, and model monitoring in cloud environments
• Collaborate with data scientists, platform engineers, and business stakeholders to translate use cases into operational AI systems supporting automation and decision…
• Support prompt engineering, model evaluation, bias detection, and performance tuning for operational reliability and fairness
• Automate deployment, versioning, and monitoring workflows supporting MLOps and responsible AI standards

What you need

• 5–9 yrs of experience
• LLMs
• MLOps
• Python
• Machine learning
• Pandas
• Deep learning
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• AWS
• GCP
• Azure
• Prompt engineering
• PyTorch
• TensorFlow