Key Responsibilities & Skills

• AI Initiative Scoping & Prioritization
• AI-Powered Application Development
• Workflow Automation & Optimization
• Full-Stack Development (Backend Services & APIs)
• Data Pipeline Engineering
• Retrieval-Augmented Generation (RAG) Development
• Prompt Engineering
• Agentic Workflow Design
• Model Evaluation & Monitoring
• Knowledge Management & AI-Enabled Search
• Technical Design Documentation
• Business Requirements Translation
• Cross-Functional Stakeholder Communication

Technical Skills

• Python
• PyTorch / HuggingFace
• LLM / Foundation Models (OpenAI / Anthropic / AWS Bedrock)
• AWS / Azure / GCP
• API Development (REST / GraphQL)
• Backend Development (Python)
• Data Pipeline Engineering
• Model Deployment (Cloud)
• Model Context Protocol (MCP)

Education

Bachelor’s Degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science. Preferred: Master’s in Computer Science, Master’s in Artificial Intelligence, Master’s in Machine Learning, Ph.D. in AI/ML, Master’s in Data Science.

Industry Experience

• AI / Machine Learning Consulting
• Enterprise Software Development
• Cloud AI Platforms
• AI Product Development
• Technology Services

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