Description

Key Responsibilities

• Build and deliver production-grade full-stack applications, AI products, and cloud-native services.
• Design and develop end-to-end AI solutions using LLMs, RAG, Agentic AI frameworks, and multimodal foundation models for text, audio, image, and video generation.
• Develop scalable AI applications using Python, React/Next.js, TypeScript, REST APIs, microservices, and Azure cloud services.
• Architect and optimize conversational AI, Digital AI Agents (DAX), GitHub Copilot, and task automation workflows using Azure OpenAI and modern AI platforms.
• Implement Vector Databases and semantic retrieval solutions for enterprise knowledge search, reasoning, and grounding.
• Develop and operationalize LLMOps/MLOps pipelines, including model deployment, evaluation, observability, prompt management, guardrails, and continuous monitoring.
• Integrate speech-to-text, text-to-speech, audio intelligence, image generation, and video generation capabilities using LLM models and APIs such as Gemini, GPT-5+, and DALL-E 3.0.
• Build and deploy scalable workloads using Azure, Databricks, AKS/Kubernetes, Azure Data Lake Gen2, and event-driven architectures.
• Establish CI/CD, automated testing, security, and governance standards for AI applications using GitHub and Azure DevOps.
• Drive adoption of AI-assisted development, coding agents, and autonomous research systems across teams

Key Skills

Education

Any Gradute