AI Team Engineering Manager
Tasks
- Advocate for team needs with leadership
- Champion adoption of AI assisted development tools
- Design infrastructure patterns and build vs buy tradeoffs
- Drive work planning capacity management and delivery cadence
- Enforce engineering standards across CI CD pipelines repository testing and deployment
- Ensure observability scalability and resilience of systems
- Establish code review knowledge sharing and technical debate culture
- Integrate ML models and LLM features into production services
- Lead mentor and grow software engineering team
- Measure team impact of AI tools
- Own technical direction architecture decisions and API design
- Review code debug production issues and make architecture calls
- Translate business priorities into engineering plans
Perks/Benefits
- Continuous improvement culture
- Direct partnership with Chief AI Officer
- Flexible work arrangements
- Hybrid work
- Short feedback loops
- Tech stack access
Skills/Tech-stack
.NET | AKS | AWS | Azure | Azure Kubernetes | Azure Kubernetes Service | Bicep | C# | C++ | CD | CI | CI/CD | Distributed Systems | Elasticsearch | Event Driven | Event-driven architecture | GCP | Go | Infrastructure as Code | Kafka | Kubernetes | Kubernetes Service | Linux | Message Brokers | Microservices | Observability | Pinecone | Python | Qdrant | REST | Reliability | Rust | SQL | SQL Databases | Scalability | Shell | Terraform | Terraform Lifecycle | Vector Databases | “as-code”
Education
N/A
Roles
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