Gen AI Engineer (SJ-IQ)

• 6+ years of experience building and delivering 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.
• Build scalable AI applications using Python, TypeScript, REST APIs, microservices, and Azure cloud services.
• Architect and optimize conversational AI, Digital AI Agents (DAX), GitHub + copilots, and task automation workflows leveraging Azure OpenAI and modern AI platforms.
• Implement Vector Database and semantic retrieval solutions to power enterprise knowledge search, reasoning, and grounding capabilities.
• 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 into AI-powered user experiences8 using LLM Models & API calls (Gemini, GPT 5 and higher, DALL-E-3.0) .

• Build and deploy scalable workloads on 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 Technologies
• Azure OpenAI

• GPT-4o / DAX Models
• RAG
• Agentic AI
• Vector DBs
• Databricks
• Python
• AKS
• Azure AI Speech
• Image/Video/Audio Generation APIs
• GitHub Copilot
• Azure DevOps
• LLMOps