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ey Responsibilities

- Design, develop, and deploy AI/ML and Generative AI solutions.
- Build and optimize machine learning models using Python, TensorFlow, PyTorch, and Scikit-Learn.
- Develop applications leveraging LLMs, Prompt Engineering, RAG, Vector Databases, and Agentic AI frameworks.
- Integrate AI solutions with enterprise applications through APIs and microservices.
- Develop and maintain end-to-end ML pipelines and MLOps processes.
- Fine-tune and deploy foundation models for domain-specific use cases.
- Collaborate with business and technical teams to translate requirements into AI solutions.
- Ensure model performance, scalability, security, and reliability.

Mandatory Skills
- Robust proficiency in Python
- Machine Learning & Deep Learning
- Generative AI & Large Language Models (LLMs)
- Prompt Engineering
- RAG (Retrieval-Augmented Generation)
- LangChain / LangGraph / CrewAI
- Vector Databases (FAISS, Pinecone, ChromaDB)
- TensorFlow / PyTorch
- FastAPI / REST APIs
- AWS / Azure / GCP
- Git, CI/CD, Docker, Kubernetes

📌 Gen AI engineer (Bengaluru)
🏢 LTM
📍 Bengaluru