Agentic AI Developer

About the Role

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.

Key Responsibilities

• 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.
  

Required Skills

AI & Agent Development

• 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
    

Software Development

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

AI Ecosystem

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

Data & Infrastructure

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

Cloud & DevOps

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

Preferred Qualifications

• Bachelor's or Master's 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.