GenAI / LLM Engineer

Primary Skills: Python, FastAPI, Microservices, Kubernetes, RAG, Vector Databases

Responsibilities
- Design, build, and deploy LLM-based solutions (chatbots, RAG, semantic search, NLP use cases).
- Develop microservices and APIs using Python, FastAPI, REST/gRPC.
- Optimize and deploy LLMs using quantization, GPU optimization, and efficient inference frameworks (vLLM).
- Build scalable data pipelines and ML workflows; track experiments using MLflow/DVC.
- Implement CI/CD pipelines and manage deployments with Docker, Kubernetes, Helm.
- Collaborate with cross-functional teams to deliver production-grade AI solutions, including healthcare use cases.

Requirements
- Solid Python skills; experience with Hugging Face, LangChain, PyTorch/TensorFlow.
- Hands-on experience with RAG, vector databases, and LLM optimization.
- Knowledge of cloud platforms (AWS/GCP/Azure) and Infrastructure as Code (Terraform/CloudFormation).
- Experience with A/B testing, model evaluation, and MLOps practices.

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 SP Software
📍 Bengaluru