AI Engineer (LLM / GenAI)

[{"Salary":null , "Posting_Title":"AI Engineer (LLM / GenAI)" , "Is_Locked":false , "City":"Remote" , "Role_Overview":"We are looking for a highly skilled GenAI Engineer to design, build, and deploy scalable AI solutions leveraging LLMs and agentic AI systems. This role requires strong expertise in GenAI frameworks, AI agent development, cloud platforms, and full-stack API-based application development.","Industry":"IT Services","Job_Description":"

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 workflows for business use cases
      
      MLOps & Optimization:
      

      • Set up end-to-end MLOps pipelines (CI/CD, monitoring, retraining)
        
      • Optimize performance, scalability, and infrastructure costs
        
      • Use tools like Git, Docker, Kubernetes, vector databases
        
        Application Development & Data Integration:
        

        • Develop APIs using FastAPI / Node.js
          
        • Work with React, TypeScript, async patterns, WebSockets/SSE
          
        • Handle data integration using REST APIs, SQL, and external systems
          
          Cross-Functional Collaboration:
          

          • Partner with Engineering, Product, and Data teams
            
          • Communicate complex AI concepts clearly to technical and non-technical stakeholders
            
          • Stay updated with the latest advancements in GenAI and AI agents
            
            Required Skills:
            

            • Strong proficiency in Python, SQL, and GenAI frameworks (e.g., LangChain)
              
            • Hands-on experience with LLMs, RAG, embedding, and prompt tuning
              
            • Experience building AI agents and multi-agent systems
              
            • Experience with cloud platforms (AWS/Azure/GCP) and containerization
              
            • Strong knowledge of REST APIs and data integration
              
            • Experience with FastAPI, Node.js, React, TypeScript
              
            • Understanding of MLOps and deployment practices
              
            • Strong analytical, problem-solving, and communication skills
              
              Preferred:
              

              • 4+ years of experience with GenAI/LLMs in production
                
              • Experience with agent orchestration frameworks (CrewAI, LangGraph, Autogen)
                
              • Exposure to client-facing AI solutions or cross-functional projects
                
              • Open-source contributions, research, or AI project portfolio
                
                
                
                Requirements

                • Strong proficiency in Python, SQL, and GenAI frameworks (e.g., LangChain)
                  
                • Hands-on experience with LLMs, RAG, embedding, and prompt tuning
                  
                • Experience building AI agents and multi-agent systems
                  
                • Experience with cloud platforms (AWS/Azure/GCP) and containerization
                  
                • Strong knowledge of REST APIs and data integration