AI Engineer

Key Responsibilities

• Design and develop AI-powered applications using Python.
• Build Generative AI and LLM-based solutions using OpenAI, Azure OpenAI, Anthropic, or similar models.
• Develop RAG (Retrieval-Augmented Generation) applications using vector databases.
• Build REST APIs and integrate AI services with enterprise applications.
• Design AI agents, chatbots, and intelligent automation workflows.
• Develop data pipelines for AI/ML applications.
• Fine-tune, evaluate, and optimize AI models for performance.
• Deploy AI applications on AWS, Azure, or GCP.
• Collaborate with product, data engineering, and DevOps teams.

Required Skills

• 3–8 years of software development experience
• Strong Python programming
• Generative AI / Large Language Models (LLMs) including OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI platforms
• Open source libraries such as LangChain or LlamaIndex
• RAG (Retrieval-Augmented Generation) techniques
• Knowledge of vector databases like Pinecone, FAISS, ChromaDB, Weaviate, or Milvus
• Prompt Engineering skills
• REST APIs development
• Experience with Git & CI/CD
• SQL / NoSQL databases
• Docker
• Experience with cloud platforms (AWS, Azure, GCP)