AI Engineer

Key Responsibilities

• Design and develop AI agents using LLMs (GPT, Claude, Llama, Gemini, etc.)


• Build multi-agent systems for complex workflows


• Integrate AI agents with APIs, databases, and enterprise applications


• Develop Retrieval-Augmented Generation (RAG) solutions


• Implement memory, planning, reasoning, and tool-calling capabilities


• Create AI workflows using orchestration frameworks


• Optimize prompts, evaluate agent performance, and reduce hallucinations


• Deploy AI applications on cloud platforms


• Monitor, secure, and scale AI systems

Required Technical Skills Programming

• Python (Mandatory)


• JavaScript/TypeScript (Preferred)


• SQL

AI/ML

• Generative AI


• Large Language Models (LLMs)


• Prompt Engineering


• Fine-tuning basics


• Embeddings


• Vector Databases

Agent Frameworks

• LangChain


• LangGraph


• LlamaIndex


• CrewAI


• AutoGen


• Semantic Kernel


• OpenAI Agents SDK

RAG

• Document ingestion


• Chunking


• Embeddings


• Vector search


• Hybrid Search


• Knowledge Graphs