AI Engineer

Design, develop, and implement AI-based document digitization solutions.
• Build intelligent document processing (IDP) workflows for enterprise applications.
• Configure, train, and optimize document classification and data extraction models.
• Develop automated validation workflows and business rule engines.
• Analyze AI model performance and continuously improve model accuracy.
• Support deployment, monitoring, and lifecycle management of AI solutions.
Generative AI & Agentic AI
• Design and implement Generative AI and Agentic AI solutions.
• Build AI agents using frameworks such as ADK, LangGraph, and CrewAI.
• Develop Retrieval-Augmented Generation (RAG) solutions and intelligent workflows.
• Perform prompt engineering and fine-tuning of Large Language Models (LLMs) for domain-specific use cases.
• Optimize AI models for enterprise-scale performance and accuracy.
Full Stack AI Development
• Develop backend services using Python.
• Build frontend applications using React or other modern JavaScript frameworks.
• Develop RESTful APIs and integrate AI services with enterprise applications.
• Ensure secure and scalable AI application architecture.
Cloud & MLOps
• Deploy AI applications on AWS, Azure, or Google Cloud Platform (GCP).
• Build CI/CD pipelines for AI/ML model deployment.
• Implement MLOps best practices for model versioning, monitoring, retraining, and governance.
• Monitor cloud infrastructure and optimize performance, scalability, and cost.
Integration & Collaboration
• Integrate AI services with Enterprise Resource Management (ERM) systems and supporting applications.
• Collaborate with Product Owners, Business Analysts, Architects, and QA teams throughout the development lifecycle.
• Prepare technical documentation, architecture diagrams, and deployment guides.
• Participate in Agile/Scrum ceremonies and provide technical leadership.

Required qualifications to be successful in this role:

Must-Have Skills:
• 10+ years of IT experience with a minimum of 5+ years in AI Engineering.
• Strong expertise in:
o Artificial Intelligence (AI)
o Machine Learning (ML)
o Generative AI (GenAI)
o Intelligent Document Processing (IDP)
• Hands-on experience with Agentic AI frameworks such as:
o ADK
o LangGraph
o CrewAI
• Strong Python programming skills.
• Experience with full-stack development using:
o Python (Backend)
o React or similar JavaScript frameworks (Frontend)
• Experience with Prompt Engineering and LLM Fine-Tuning.
• Knowledge of Vector Databases, Embedding Models, and RAG architecture.
• Experience with AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of MLOps and DevOps practices.
• Experience integrating AI solutions with enterprise applications.
• Excellent analytical, communication, and stakeholder management skills.