Senior AI Engineer
Tasks
- Build APIs for AI systems
- Build containerized services
- Build evaluation pipelines
- Collaborate with data scientists to ship AI use cases
- Create LLM observability tooling
- Deploy AI features to production
- Design autonomous agents
- Develop LLM-powered agents
- Implement testing and clean architecture
- Manage latency cost reliability and failure modes
- Monitor AI systems
- Reduce production downtime
- Set up CI/CD pipelines
Perks/Benefits
- Commute subsidy
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation
- Mental health programs
- Office Food Snacks
- Retirement pension plans
- Support for new parents
- Training and development programs
- Volunteering and donation matching program
Skills/Tech-stack
API Development | AWS | Agentic Workflows | CI/CD | Claude | Clean architecture | Cost Optimization | Docker | Evaluation Frameworks | Failure mode analysis | GCP | JavaScript | Kubernetes | LLM | Langchain | Langgraph | Latency optimization | Observability | OpenAI | Python | Reliability Engineering | Software testing
Education
N/A
Roles
AI Engineer | Engineer | Senior AI Engineer | Software Engineer
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