Senior AI Software Engineer
Seattle, Washington, United States; USA - Atlanta, GA; USA - Richardson, TX; USA - Sandy, UT
USD 151K-235K (estimate) Senior-level Full Time
Tasks
- Automate infrastructure lifecycle tasks
- Build AI Ops incident intelligence agents and orchestration
- Build and maintain MCP server integrations for operational tooling
- Coordinate AI pipeline efforts across engineering teams
- Create automated rollback capabilities
- Design and build infrastructure automation pipelines
- Design solutions for sovereign isolation and compliant data boundaries
- Identify high toil workflows and translate into automation
- Implement AI driven change risk scoring and production readiness gates
- Integrate automation into CI CD systems with release gates
- Provision and validate monitoring alerting telemetry and network circuits
Perks/Benefits
- N/A
Skills/Tech-stack
AG2 | API tooling | API-driven | API-driven Development | AWS | AWS CDK | Agent Orchestration | Anthropic API | Autogen | CI CD Release Gates | CI/CD | Cloud Native | Cloud-native observability | CloudWatch | Confluence | CrewAI | Distributed Systems | EC2 | EKS | Function Calling | GitHub Actions | GitLab CI | Go | GraphQL | GraphQL API | IAM | Idempotent automation | Jira | Kafka | Kubernetes | LLM APIs | Lambda | Langgraph | Logs | MCP | Metrics | Model Context Protocol | Node.js | OpenAI API | Prompt engineering | Pulumi | Python | RDS | REST APIs | Release gates | Semantic Kernel | ServiceNow | Smolagents | Terraform | Traces | TypeScript
Regions
Countries
States
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