We are seeking an experienced AI Engineer with expertise in Machine Learning, Generative AI, LLMs, and Agentic AI systems. The ideal candidate will design, develop, and deploy AI-powered applications using modern AI frameworks, vector databases, and cloud platforms. The candidate should have hands-on experience building production-grade AI solutions including RAG systems, AI Agents, and LLM-based applications.
Design and develop AI/ML and Generative AI applications.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
Develop Agentic AI workflows using frameworks such as LangGraph, LangChain, CrewAI, or similar.
Integrate Large Language Models (GPT, Claude, Gemini, Llama, Mistral, etc.) into business applications.
Develop REST APIs using FastAPI or Flask.
Implement vector search solutions using Qdrant, Pinecone, Weaviate, or FAISS.
Create prompt engineering strategies and evaluation frameworks.
Fine-tune and optimize open-source LLMs using LoRA/QLoRA techniques.
Deploy AI applications on Azure, AWS, or GCP.
Implement monitoring, observability, and performance optimization for AI systems.
Collaborate with Product Owners, Data Scientists, and Engineering teams to deliver AI solutions.
Ensure AI applications meet security, scalability, and reliability requirements.
