Agentic AI Developer

We are looking for a passionate Agentic AI Developer to design build and deploy intelligent AI agents that can automate real-world business processes and day-to-day workflows. The ideal candidate will work at the intersection of Artificial Intelligence Software Development Automation and Multi-Agent Systems creating AI-powered solutions that can reason plan execute tasks and integrate seamlessly with enterprise applications.

This role requires strong software engineering fundamentals along with hands-on experience in developing AI applications using modern LLMs AI frameworks and agent orchestration platforms.

• Design develop and deploy autonomous and semi-autonomous AI agents for business and consumer use cases.
  
• Build Agentic workflows involving planning reasoning memory management and tool usage.
  
• Develop AI-powered applications using Large Language Models (LLMs) such as GPT Claude Gemini Llama etc.
  
• Integrate AI agents with enterprise systems APIs databases CRMs ERPs and third-party platforms.
  
• Create multi-agent ecosystems capable of collaboration and task delegation.
  
• Build AI copilots chatbots automation assistants and workflow orchestration solutions.
  
• Develop backend services and APIs to support agent-based applications.
  
• Implement Retrieval-Augmented Generation (RAG) vector databases and knowledge management systems.
  
• Optimize AI applications for performance scalability security and cost efficiency.
  
• Evaluate emerging AI technologies and recommend innovative solutions.
  
• Collaborate with product engineering and business teams to identify automation opportunities.
  

• Experience with AI agent frameworks such as:
  • LangGraph
    
  • LangChain
    
  • CrewAI
    
  • AutoGen
    
  • Semantic Kernel
    
  • OpenAI Agents SDK
    
• Strong understanding of:
  • Agentic AI
    
  • Multi-Agent Systems
    
  • Prompt Engineering
    
  • RAG Architectures
    
  • Function Calling & Tool Usage
    
  • AI Memory Management
    

• Strong programming skills in:
  • Python (Mandatory)
    
  • JavaScript / TypeScript
    
• Experience with:
  • REST APIs
    
  • Microservices Architecture
    
  • Backend Development
    
  • Database Design
    

• Experience working with:
  • OpenAI
    
  • Azure AI Services
    
  • Anthropic Claude
    
  • Google Gemini
    
  • Open-Source LLMs
    

• Vector Databases:
  • Pinecone
    
  • Weaviate
    
  • Chroma
    
  • Milvus
    
• Databases:
  • SQL
    
  • PostgreSQL
    
  • MongoDB
    

• Azure / AWS / GCP
  
• Docker
  
• Git
  
• CI/CD Pipelines
  

• Bachelors or Masters degree in Computer Science AI Data Science or related field.
  
• Experience building enterprise-grade AI applications.
  
• Hands-on experience with workflow automation platforms.
  
• Understanding of AI governance security and responsible AI practices.
  
• Exposure to MLOps and AI deployment frameworks.