Artificial Intelligence Engineer

Key Responsibilities

• Design, develop, and maintain agentic AI systems capable of reasoning, planning, and interacting with APIs / tools.
• Integrate LLMs (GPT, Claude, LLaMA, etc.) and fine-tune them for domain-specific use cases.
• Build RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS, ChromaDB, Qdrant, Weaviate, Pinecone).
• Develop multi-agent workflows using LangGraph, CrewAI, or other orchestration frameworks.
• Optimize agent performance, reduce hallucinations, and ensure reliable output.
• Implement secure and scalable API endpoints to expose AI capabilities to enterprise applications.
• Collaborate with product managers, data scientists, and DevOps teams to ensure smooth deployment.
• Stay current with emerging LLM frameworks, open-source AI tools, and autonomous agent techniques .
• Mentor junior developers and establish best practices for prompt engineering, model selection, and monitoring .

Required Skills & Experience

Preferred Qualifications