(Sr.) AI Engineer
Tasks
- Build and operate AI infrastructure for agents and evaluation
- Design and ship AI native development workflows
- Design multi agent systems and agent workflows
- Develop evaluation harnesses and telemetry for LLM systems
- Drive adoption using engineering metrics and reporting
- Evaluate and pilot emerging AI tools and models
- Integrate AI coding agents into engineering practices
- Onboard teams to AI workflows
- Troubleshoot and resolve issues across AI agent stack
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | Agent systems | Azure | C# | C++ | Cloud platform | CloudFormation | Context engineering | DevOps | Docker | Evaluation | Golang | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | JavaScript | Kubernetes | LLM | Multi-Agent | Multi-Agent Systems | Python | Retrieval-Augmented Generation | Telemetry | Telemetry pipelines | Terraform | “as-code”
Education
Roles
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