Description

You will design, develop, and deploy advanced Generative AI solutions using large language models.

Responsibilities

• Design and implement Generative AI models for text, image, or multimodal applications.
• Develop prompt engineering strategies and embedding-based retrieval systems.
• Integrate Gen AI capabilities into enterprise workflows and web applications.
• Build agentic AI applications utilizing context engineering and ClientP tools.

Required Skills

• 10+ years of hands-on experience in AI, Data science, ML, and Generative AI.
• Strong experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines.
• Extensive experience with LangChain, LangGraph, CrewAI, and multi-agent orchestration patterns.
• Strong MLOps/LLMOps experience with CI/CD automation across cloud platforms.
• Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow).
• Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB) and semantic search.
• Experience developing microservices and APIs using FastAPI, REST, Docker, and Kubernetes.
• Familiarity with cloud AI services, specifically GCP Vertex AI and AWS SageMaker.
• Experience fine-tuning LLMs using techniques like LoRA, QLoRA, and PEFT.

Key Skills

Education

Any Graduate