Senior AI Engineer
Tasks
- Build evaluation frameworks
- Create reusable abstractions and tooling
- Design and build agentic systems
- Design prompts and retrieval pipelines
- Identify capability gaps
- Make trade-offs on product features
- Mentor team members
- Optimize customer workflows
- Orchestrate LLMs tools and business logic
- Own agent lifecycle
- Partner with product and design
- Prototype and harden systems
- Raise quality through code review
- Share engineering best practices
- Translate customer problems into agent behaviors
- Use AI to accelerate development
Perks/Benefits
- 401k plan
- Flexible time off
- Health and wellness benefits
- In-person offsites
- Technology reimbursements
Skills/Tech-stack
AI-native | AI-native development | Agent Orchestration | Agent orchestration systems | Embedding Models | Evaluation Frameworks | LLM APIs | Language Models | Large Language Models | Native Development | Orchestration Systems | PostgreSQL | Python | RAG Architectures | Retrieval Pipelines | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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