AI Engineer (LLM / GenAI)

Key Responsibilities:

Solution Architecture & Deployment:

• Design and deploy secure, scalable GenAI architectures integrated into applications
  
• Build and deploy REST APIs for AI/ML models
  
• Work with Docker, Kubernetes in cloud environments (AWS/Azure/GCP)
  

GenAI & LLM Development:

• Fine-tune and optimize LLMs (GPT, VAEs, GANs, transformer-based models)
  
• Implement RAG pipelines, embedding, and prompt engineering techniques
  
• Work with commercial and open-source LLMs (GPT, Claude, LLaMA, Phi)
  

Agentic AI Development:

• Build and deploy AI agents using LangChain, LangGraph, CrewAI, Autogen, AgentFlow
  
• Implement multi-agent systems, orchestration, tool integration, and state management
  
• Develop autonomous or semi-autonomous...