AI Engineer
Tasks
- Build Azure Functions and Foundry agents
- Build Copilot Studio agents
- Create eval sets and quality checks
- Define retrieval and knowledge strategies
- Deploy using CI/CD
- Design and deploy production AI agents
- Develop Power Automate cloud flows
- Document agents and promotion decisions
- Ensure permission aware retrieval using DLP policies
- Identify AI automation opportunities
- Implement security and auditability
- Integrate data connectors REST APIs and MCP servers
- Scope and build proofs of concept
- Set guardrails observability and monitoring
Perks/Benefits
- 33 days annual leave
- Charity support opportunities
- Financial wellbeing provisions
- Flexible benefits platform
- Free mortgage services
- Free private medical cover
- Gold Card drinks and food
- Healthcare cash plan
- Life assurance
- Pension match
- Sabbatical after 3 years
- Season ticket loans
Skills/Tech-stack
AI Agents | AI Foundry | AI Search | Artificial Intelligence | Automation | Azure | Azure AI | Azure AI Foundry | Azure AI Search | Azure Functions | CI/CD | Claude | Cloud Flows | Copilot Studio | DLP | Dataverse | Governance | LLM | MCP | Monitoring | Observability | Power Automate | Power Automate Cloud | Power Automate Cloud Flows | Power Platform | Prompt Flow | Prompt orchestration) | Python | Quality checks | RAG | REST APIs | Retrieval Quality | Retrieval Quality Checks | Security | Testing | Version control
Education
N/A
Roles
AI | AI Engineer | Engineer
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