AI Native Engineer

• • Build and deploy AI-native applications using LLMs and GenAI tools
  • Develop features like chatbots, copilots, and AI assistants
  • Integrate AI capabilities into production systems

LLM Integration & Prompt Engineering

• • Work with Open AI / Anthropic / Hugging Face APIs
  • Design and optimize prompts, system instructions, and workflows
  • Implement function calling and tool usage

RAG & Data Pipelines

• • Build Retrieval-Augmented Generation (RAG) systems
  • Work with embeddings and vector databases
  • Handle data ingestion, chunking, and semantic search

Backend & System Design

• • Develop scalable backend systems using Python / Node.js
  • Build APIs and microservices for AI applications
  • Ensure performance, scalability, and reliability

AI Agents & Automation

• • Develop AI agents and multi-step workflows
  • Work with frameworks like LangChain, LlamaIndex, AutoGen, CrewAI
  • Automate complex tasks using AI

Evaluation & Optimization

• • Evaluate model outputs and improve accuracy
  • Reduce hallucinations and optimize prompts
  • Optimize latency and token cost