Role- AI / ML Engineer LLM & GenAI

Experience: 5+ Years
Must Have: Large Language Models (LLMs)

Key Responsibilities

- Design, develop, and deploy LLM and GenAI-powered applications.

- Build solutions using NLP, deep learning, chatbots, and conversational AI.

- Integrate AI models with cloud/on-premise applications and production pipelines.

- Evaluate and optimize AI models for performance, scalability, and reliability.

- Collaborate with multiple teams, provide technical guidance, and mentor team members.

- Stay updated with emerging LLM and GenAI technologies and best practices.

Must-Have Skills
- Strong hands-on experience with Large Language Models (LLMs).

- Experience in Generative AI and LLM application development.

- Robust Python and NLP skills.

- Experience with TensorFlow/PyTorch or similar deep learning frameworks.

- Experience with chatbots, conversational AI, or AI agents.

Good to Have
- RAG, Prompt Engineering, Vector Databases

- LangChain/LlamaIndex

- Azure OpenAI, OpenAI, AWS AI, or Google Cloud AI

- Experience with MLOps and production deployment

📌 AI/ML Engineer – LLM & Generative AI (Bengaluru)
🏢 PINEQ LAB
📍 Bengaluru