IN_Senior Associate_ AI/ML Engineer__GCC_ Advisory _Bangalore
Core
Design, build, and deploy Large Language Model (LLM) and Generative AI solutions, including RAG systems and agentic workflows, to drive business insights and innovation for clients.
Role type
Senior IC GenAI/LLM Engineer
Builds
Production-ready LLM applications, chatbots, recommendation systems, and optimized inference pipelines
Domain
Artificial Intelligence, Machine Learning, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, LLM frameworks (Hugging Face, LangChain), RAG systems, Vector databases, Microservices, Kubernetes, MLOps, Model quantization, Prompt engineering, SQL, Cloud platforms (AWS/GCP/Azure)
Preferred skills
Go or Rust, Agentic AI, Knowledge distillation, A/B testing, Feature engineering
Technologies
Hugging Face Transformers, LangChain, Spark, MLflow, Git, Terraform, Kubernetes, Helm, vLLM, FastAPI, TorchServe, AWS, GCP, Azure
Responsibilities
Develop and optimize LLMs for specific use cases (chatbots, translation, recommendations); Implement RAG architectures and semantic search; Build and maintain MLOps pipelines for automated retraining and monitoring; Design microservices-based architectures for ML workloads; Optimize model performance via quantization and distillation; Collaborate on cloud infrastructure and security for ML systems
Seniority
Senior, hands-on IC