IN_Sr Associate_GEN / Agentic AI Engineer _D&A_Advisory_Gurgaon
Core
Design, build, and deploy scalable Agentic AI and LLM solutions for enterprise clients, focusing on microservices architecture, model optimization, and data pipeline integration.
Role type
Senior IC Agentic AI Engineer (LLM/GenAI)
Builds
Production-grade AI/ML models, microservices, and data pipelines for customer experience and business growth.
Domain
Enterprise Technology / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, LLM frameworks (Hugging Face, LangChain), Prompt Engineering, Spark, Git, MLflow, Microservices, Terraform, Kubernetes, vLLM, FastAPI, MLOps, Cloud (AWS/GCP/Azure), RAG, Vector Databases, Model Quantization, Knowledge Distillation, A/B Testing, gRPC, REST APIs
Preferred skills
Go, Rust, TensorFlow, PyTorch, Service Mesh, Helm, TorchServe, TF Serving, DVC, Healthcare domain knowledge
Technologies
Python, FastAPI, Kubernetes, Terraform, GitHub Actions, Jenkins, vLLM, Hugging Face, LangChain, Spark, MLflow, AWS, GCP, Azure, gRPC, REST, Helm, TorchServe, TF Serving, DVC
Responsibilities
Develop and maintain microservice architecture and API management solutions using REST and gRPC for AI deployment; Design and implement robust, scalable data pipelines to support state-of-the-art AI/ML models; Debug, optimize, and enhance machine learning models ensuring quality assurance; Design and build scalable LLM inference architectures employing GPU memory optimization and model quantization; Engage in advanced prompt engineering and fine-tuning of LLMs for semantic retrieval and chatbot development; Research and implement cutting-edge LLM optimization techniques like quantization and knowledge distillation.
Seniority
Senior, hands-on IC
