Description

Design, develop, and deploy enterprise-scale Generative AI solutions and applications.

This role is remote.

Responsibilities

• Build AI-powered applications using Azure OpenAI, Azure AI Foundry, Copilot Studio, and related services.
• Design and implement RAG solutions using vector databases and optimize enterprise knowledge sources.
• Create AI agents and multi-agent workflows using LangChain, LangGraph, Semantic Kernel, or AutoGen.
• Develop scalable APIs, microservices, and backend integrations for GenAI applications.
• Implement LLMOps practices for model monitoring, observability, performance tuning, and governance.

Required Skills

• 7+ years in software development with 3+ years in Generative AI.
• Strong proficiency in Python and cloud platforms, specifically Azure.
• Experience with Azure OpenAI, Azure AI Foundry, and vector databases.
• Hands-on experience with RAG architectures and prompt engineering.
• Proficiency with frameworks like LangChain, LangGraph, Semantic Kernel, or AutoGen.
• Skilled in building REST APIs and integrating with enterprise platforms (M365, ServiceNow, Salesforce, SAP).
• Experience with Docker, Kubernetes, Git, and CI/CD pipelines.

Preferred Skills

• Experience with multi-agent workflows and agentic AI patterns.
• Knowledge of Responsible AI, security compliance, and data privacy standards.

Key Skills

Education

Bachelor's degree