Senior AI Engineer - AI Engineering & Enablement
Tasks
- Contribute to test strategy and quality gates
- Define and drive AI engineering technical direction
- Deliver spikes and reference implementations
- Establish safe scalable AI assisted development patterns
- Implement AI CI/CD and pipeline integration
- Implement agent workflows and tool use patterns
- Implement retrieval and RAG patterns
- Improve instrumentation dashboards alerts and lightweight metrics
- Lead solutioning for ambiguous problems
- Mentor engineers on complex technical challenges
- Partner with security and architecture on AI API standards
- Perform code reviews and pairing
- Produce RFCs decision records runbooks and evaluation summaries
- Represent engineering positions in working groups and document decisions
- Support vendor and external PoCs technical assessments
Perks/Benefits
- Career growth and development opportunities
- Community contribution opportunities
- Health and wellbeing resources and programs
- Inclusive collaborative environment
- Paid vacation personal and sick days
- Work life balance hybrid at least 3 days in office
Skills/Tech-stack
.NET | APIs | Access Management | Agent Orchestration | Auditability | C# | CI/CD | Cloud Native | Confluence | Datadog | FinOps | GitLab | Identity and Access Management | Identity and access | Jira | LLM Evaluation | Language Models | Large Language Models | Microservice Architecture | Microservices | Node.js | Observability | OpenTelemetry | Python | RAG | Retrieval-Augmented Generation | Runtimes | Security | Software quality | Test automation | TypeScript | Workflow automation
Education
Roles
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