Job Description & How to Apply Below
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations.
Key Responsibilities:
- Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks.
- Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations.
- Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning.
- Translate research into applied solutions and lead PoC evaluations.
- Manage end-to-end delivery, UAT, and production rollout readiness.
Must-Have Skills:
- Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
- Python (Strong) and advanced RAG Workflow experience
- Hands-on with agentic workflows and scalable LLM integrations
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