Job Details
- Location: Bangalore
- Experience: 9 - 12 Years
- Job Type: Full Time
- Openings: 5
Role Description
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
Skills
Python, PyTorch, Agentic AI, RAG
