AI Engineer
Tasks
- Apply vector search for agent context
- Architect low latency high throughput serving infrastructure
- Build multi-step agent workflows
- Conduct design and code reviews
- Create evaluation systems for AI models
- Design backend services and APIs
- Develop prompt engineering frameworks
- Develop scalable microservices
- Ensure error handling and cost efficiency
- Implement monitoring and structured logging
- Implement persistent memory
- Integrate and orchestrate LLMs and agents
- Measure reasoning quality and hallucination rate
- Mentor junior engineers
- Perform context engineering
- Set up distributed tracing
- Support task decomposition and tool invocation
- Track task success and reliability
Perks/Benefits
- Additional company holidays
- Enhanced parental leave
- Generous vacation policy
- Medical/Dental/Vision insurance
- Mental wellness benefit
- Pre-tax 401k
- Volunteer time off
Skills/Tech-stack
AI Agents | Context engineering | Cost Optimization | Distributed tracing | Error Handling | Evaluation Frameworks | LLM orchestration | Latency optimization | MLOps | Microservices | Monitoring | Persistent memory | Prompt engineering | REST APIs | Structured Logging | Task decomposition | Throughput Optimization | Tool invocation | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Senior Software Engineer | Software Engineer
Regions
Countries
States
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