Strong experience in Python & Machine Learning
Hands-on exposure to Generative AI & LLMs
Experience with Prompt Engineering
Knowledge of RAG Pipelines
Understanding of Embeddings & Vector Databases
Experience with LangChain / LangGraph / LlamaIndex
AI Model & API Integration
Model Evaluation & Experimentation Workflows
Exposure to AWS / Azure / GCP is a plus
Knowledge of Docker, MLOps & CI/CD is an advantage
Your Role:
- Build and support AI/ML & GenAI applications
- Develop and optimize RAG pipelines
- Work on Prompt Engineering and LLM integrations
- Support ML model development, testing & deployment
- Build scalable and reusable AI components
- Automate experimentation and evaluation workflows
- Collaborate closely with senior engineers and cross-functional teams