Senior AI/ML Engineer

Overview

Senior Gen AI Engineer role focused on building and deploying AI solutions using generative AI, LLM-based applications, and agentic/multi-agent systems.

What you'll do

• Take ownership of Gen AI projects from ideation to deployment.
• Develop and fine-tune generative AI models to optimize business processes and improve productivity.
• Design AI agent architectures for autonomous decision-making and multi-agent collaboration.
• Build and optimize LLM applications using RAG and create ML pipelines for NLP and multimodal tasks.
• Use vector databases and LLM APIs in Gen AI development.
• Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
• Conduct continuous research on state-of-the-art generative AI, autonomous agents, and NLP.

What you'll need

• 4–10 years of relevant experience (as stated in the posting).
• Strong foundation in machine learning and deep learning, including neural networks, optimization, and model evaluation.
• Experience with LLMs and transformer architectures.
• Proficiency in Python, LangChain, and Hugging Face transformers, plus MLOps.
• Experience with reinforcement learning and multi-agent systems for decision-making.
• Knowledge of multimodal AI integrating text, image, and other data modalities.

Nice to have

• Experience with prompt engineering, fine-tuning, and RAG techniques.
• Familiarity with cloud platforms (AWS, GCP, Azure) and deployment tools (Docker, Kubernetes, FastAPI, Flask).

Details

• Location: Bangalore.
• Employment type: Full-time.