Sr. Engineer, SDET

Primary Skills: Agentic AI, Pytorch, RAG, ML, Gen AI Description: Key Responsibilities * Build and deploy scalable LLM, RAG, and agent-based systems * Architect LLM inference and deployment pipelines * Optimize models for efficient and cost-effective production * Collaborate with data science, research, and product teams * Ensure clean code, testing, reproducibility, and CI/CD * Mentor junior engineers and drive engineering best practices * Ensure ethical, secure, and responsible AI development Required Skills * Advanced Python with strong fundamentals in NumPy, Pandas, scikit-learn * Deep learning expertise in PyTorch / TensorFlow * Hands-on with LLM frameworks: Hugging Face Transformers, LangChain (prompting & fine-tuning) * Strong experience with Agentic AI frameworks: AutoGen, CrewAI, LangGraph * Expertise in RAG pipelines, semantic search, vector databases * Strong software engineering practices: microservices, TDD, concurrency * Ability to rapidly prototype and productionize GenAI solutions ________________________________________ Good-to-Have Skills * Model optimization: Quantization (GPTQ, AWQ), pruning, distillation * Multimodal AI (text, vision, audio): CLIP, BLIP, Whisper, LLaVA * LLM serving using FastAPI and vector DBs (FAISS, Pinecone, Chroma) * CI/CD pipelines, Airflow, Docker, Kubernetes / Helm * Cloud AI deployments on AWS / Azure / GCP (e.g., SageMaker) * MLOps & tracking: Git, MLflow * Data pipelines & ELT/ETL using Snowflake

Python, PyTorch, Agentic AI, RAG