Build and deploy LLM-powered agents for internal tools and customer-facing products.
Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.
Experiment with open-source/closed-source LLMs.
Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.
Optimise ML and LLM systems for accuracy, latency, scalability, and cost.
Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual

🎯 Requirements

B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering
Strong programming skills in Python.
Interest and experience with RAG and agentic AI concepts.
Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries.
Interest and experience in model training, inference optimisation, and GPUs.
Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.

🎁 Benefits

https://thelevel.ai/

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot