AI Engineer

AI & Automation Solution Development

• Assist in the design, development, and implementation of AI-driven and automation solutions, including conversational AI, document intelligence, and multi-agent orchestration.
  
• Contribute to rapid proof-of-concept (POC) initiatives, helping to build, test, and iterate on new ideas.
  
• Support the end-to-end solution lifecycle, from initial development to cloud deployment and optimization.
  
• Integrate AI solutions with existing business platforms and enterprise systems under guidance.
  

  Technical Contribution & Learning
  

  • Write clean, efficient, and well-documented code, primarily in Python, for AI and automation solutions.
    
  • Participate in code reviews and contribute to maintaining high technical standards.
    
  • Learn and apply best practices in AI, machine learning, and automation.
    
  • Stay updated with emerging AI technologies and trends.
    

    Collaboration & Support
    

    • Collaborate with business stakeholders, data scientists, engineers, and platform specialists.
      
    • Assist in communicating technical concepts and project progress to various audiences.
      
    • Support the team in aligning project outcomes with business objectives.
      

      About You
      

      Youre a great fit for the AI Developer role if your background includes:
      

      Must Have:
      

      • 1-4 years of professional experience in AI, Machine Learning, Data Science, and/or Automation roles.
        
      • Hands-on experience with developing and deploying AI solutions, with a foundational understanding of Generative AI concepts (e.g., LLMs, RAG architectures) and/or Agentic AI principles.
        
      • Proficiency in Python programming.
        
      • Familiarity with cloud-based AI/ML services (Azure, GCP, or AWS) and basic understanding of deployment processes.
        
      • Basic understanding of data pipelines and MLOps concepts.
        
      • Strong problem-solving skills and a keen interest in learning new technologies.
        
      • Good communication and teamwork skills.
        

        Good to Have:
        

        • Experience with specific Generative AI frameworks or libraries.
          
        • Exposure to building or working with multi-agent systems.
          
        • Familiarity with document understanding techniques, such as data extraction or OCR.
          
        • Experience using modern AI development tools (e.g., GitHub Copilot) to enhance productivity.
          
        • Relevant coursework or certifications in AI/ML
          
          
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