Job Summary

Primary Skills: Agentic AI, Pytorch, RAG, ML, Gen AI

Responsibilities
Build and deploy scalable LLM, RAG, and agent-based systems
Architect LLM inference and deployment pipelines
Optimize models for effective 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

Requirements
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
Solid software engineering practices: microservices, TDD, concurrency




Ability to rapidly prototype and productionize GenAI solutions

Positive-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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead I Ml Engineering Ai,ml,python Bengaluru
🏢 UST
📍 Bengaluru