Job Description
We are looking for a Full-Stack AI Engineer with strong experience in software engineering, LLM applications, and Agentic AI solutions. The candidate will be responsible for building, evaluating, deploying, and maintaining production-ready AI agent applications.
Key Responsibilities
- Design, develop, and deploy Agentic AI solutions.
- Build RAG pipelines and integrate vector search.
- Develop and optimize LLM prompts, tools, and workflows.
- Implement evaluation frameworks and monitor AI performance.
- Build reliable APIs and backend integrations.
- Use AI coding agents for development, testing, and documentation.
- Manage CI/CD deployments and production releases.
- Collaborate with Product Owners and Agile teams.
Required Skills
- Strong programming experience in Python and/or C#/.NET.
- Hands-on experience with LLM, Agentic AI, RAG, Prompt Engineering, and Tool Calling.
- Experience with Azure AI Foundry, Copilot Studio, or Microsoft Agent Framework.
- Azure AI Document Intelligence.
- Vector Databases, Embeddings, Chunking, and Hybrid Search.
- Context Engineering and Token Management.
- LLM Evaluation, Golden Datasets, and LLM-as-a-Judge.
- OpenTelemetry, Azure Monitor, and Application Insights.
- AI Coding Agents – GitHub Copilot, Claude Code, Cursor.
- REST APIs, API Integrations, and Workflow Orchestration.
- CI/CD, Git, Azure Cloud, and Agile Methodology.
- A/B Testing, Feature Flags, and Observability.
Nice to Have
- Azure Data Factory, Databricks, Microsoft Fabric, and SQL.
- Power Automate and Logic Apps.
- Healthcare / Payer domain experience.
- PHI data handling experience.
Preferred Certifications
- Azure AI Engineer Associate.
- Azure AI Apps and Agents Developer Associate.