AI Engineer
Posted 4hrs ago
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Job Description
AI Engineer building secure Microsoft Copilot, Claude, and private RAG applications. Integrating enterprise data, APIs, governance, and automated business processes.
Responsibilities:
- Design, build, and deploy AI agents using Microsoft Copilot Studio and Claude (Anthropic) for enterprise use cases
- Architect and implement private RAG applications using vector databases, covering ingestion, chunking, embeddings, retrieval, grounding, and evaluation
- Ensure private RAG deployments meet enterprise requirements for data isolation, security, and governance
- Partner with business, data, and product teams to translate requirements into working AI agent and RAG solutions
- Manage databases and data pipelines supporting agents and RAG applications
- Design and implement AI-enabled business processes from discovery and solution design through integration, testing, deployment, monitoring, and continuous improvement
- Contribute to automation (RPA), machine learning, and front-end delivery workstreams where relevant
- Support enterprise AI governance by integrating AI solutions with internal systems, external platforms, APIs, workflow engines, data sources, and business applications
Requirements:
- Bachelor's degree in Information Technology, Computer Science, or a related field. Required
- 3-5 years of AI agent development using enterprise AI platforms such as Microsoft Copilot Studio and Claude (Anthropic); experience with both platforms preferred. Required
- 3-5 years of private RAG architecture experience, including vector databases, embeddings, chunking strategies, retrieval optimization, evaluation frameworks, and secure deployment patterns. Required
- 4-6 years of database management and data engineering experience. Required
- 3-5 years of agent orchestration experience with multi-step, tool-enabled, and workflow-driven agents. Required
- 3-5 years of integration engineering experience with REST APIs, webhooks, middleware, authentication protocols, and enterprise application integrations. Preferred
- 2-4 years of experience with AI/ML concepts, Generative AI technologies, prompt engineering, and evaluation methodologies. Preferred
- 3-5 years of experience implementing evaluation frameworks, observability tools, monitoring solutions, guardrails, and feedback mechanisms. Required
- 3-5 years of strong Python development experience. Required
- 3-5 years of software development lifecycle experience, including Git, CI/CD, automated testing, DevOps methodologies, enterprise security controls, identity management, RBAC, secrets management, and secure deployment practices. Required
- 2-4 years of experience deploying AI solutions in Azure cloud environments, including Azure AI Foundry, Azure AI Search, Azure OpenAI, and Azure Functions. Preferred
- 2–3 years of experience with Microsoft Power Platform, including Power Automate, Power Apps, and workflow automation. Preferred
- 2-3 years of web-based user interface development using Angular, React, or similar frameworks. Preferred
- 2-4 years of experience with AI orchestration and agent frameworks such as Semantic Kernel, LangGraph, LangChain, MCP, or similar technologies. Preferred















