Senior Software Engineer, AI
Tasks
- Architect agent systems and multi step workflows
- Build evaluation datasets and test harnesses
- Collaborate on AI system strategy and evaluation methodologies
- Define AI performance metrics
- Design and implement AI evaluation frameworks
- Develop retrieval-augmented generation systems
- Integrate observability and monitoring for LLM systems
- Lead AI engineering project delivery from scoping to deployment
- Perform code reviews and provide technical mentoring
- Select LLM providers and tooling based on tradeoffs
Perks/Benefits
- Accommodations upon request
- Dental insurance
- Disability insurance
- Health insurance
- Home office stipend
- Learning and development budget
- Life insurance
- Paid time off
- Parental leave
- Remote-friendly work environment
- Wellness and mental health support
- Wellness stipends
Skills/Tech-stack
AWS | Agent Orchestration | Cloud platform | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Human-in-the-loop | LLM orchestration | Langgraph | Langsmith | Language Models | Large Language Models | Monitoring | Observability | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | Serverless | The Loop | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Senior Software Engineer | Software Engineer
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