Senior Software Engineer, Applied AI (IC)
Tasks
- Assist with code review using AI
- Build agent platform and tooling
- Build missing tooling for AI adoption
- Build retrieval-augmented generation workflows
- Conduct design reviews and code review for AI generated code
- Create safety and guardrails
- Debug agent behavior using traces
- Design system architecture for ML powered features
- Determine what to delegate to agents
- Develop evaluation harnesses
- Diagnose AI adoption bottlenecks across teams
- Embed AI into software development lifecycle
- Generate tests with AI
- Implement orchestration primitives
- Implement tracing and observability
- Manage prompts and versioning
- Mentor engineers and set engineering standards
- Monitor and iterate model and agent workflows
- Ship applied AI features to production
- Support incident response with AI
- Verify AI output with tests
Perks/Benefits
- 401k match
- Company equipment provided
- Company in person events
- Disability benefits
- Flexible PTO
- Health, dental, and vision plans
- Lifestyle enhancement program
- Modern work schedules
- Paid parental leave
- Performance reviews and career development
Skills/Tech-stack
C++ | Caching | Csharp | Distributed Systems | Embeddings | Evaluation | Information Retrieval | Java | JavaScript | LLM | Latency optimization | Machine Learning | Message Queues | Microservices | Monitoring | Observability | Performance Engineering | Prompt engineering | Python | REST APIs | Regression testing | Retrieval-Augmented Generation | SQL | Search | System design | TypeScript | Unit Testing | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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