Staff Applied AI Engineer
Remotefull-timePosted 3mo ago
About the role
Staff Engineer leading the technical direction of AI agents that transform natural language into production-ready applications, shaping how Bolt.new uses LLMs to solve complex multi-step workflows and architecture decisions across teams.
Responsibilities
- Define AI Agent Architecture: Set technical direction for how agents manage context, orchestrate workflows, and scale.
- Lead multi-model strategy: Build evals and selection criteria across providers (OpenAI, Anthropic, Google); partner with provider teams to test new capabilities.
- Build tool-use & workflow foundations: Design safe, reliable interfaces for tool calling (search, queries, domain actions); evaluate frameworks and set org best practices.
- Drive cross-team execution: Align product/design/engineering, resolve tradeoffs, and mentor engineers to raise AI engineering standards.
- Establish data & evaluation standards: Own dataset methodology and the eval harness; turn failure modes and conversation insights into measurable improvements.
- Drive Research and Innovation: Experiment with prompting, context handling, and post-training; share learnings externally when appropriate.
Qualifications
- Deep LLM experience: Built and scaled production LLM systems; strong grasp of capabilities, limits, and emergent behavior.
- Prompt engineering: Sets best practices and mentors across models and use cases.
- Software engineering: Strong fundamentals; designs scalable systems and makes pragmatic architectural calls.
- Strategic execution: Drives ambiguous, high-scope work end to end; influences across teams.
- Systems thinking: Spots process/communication/technical debt and improves team velocity.
- Model & agent literacy: Tracks coding-agent/LLM advances; understands model tradeoffs and the agent lifecycle.
- Data-driven leadership: Builds data collection + eval harnesses; turns insights into measurable improvements.
- Strong verbal and written English communication skills.
Skills
Required:AI architecture and agent designMulti-model strategy and evaluationTool integration and workflow foundationsCross-team leadershipData collection and eval harness
Last updated Jul 26, 2026. Interested? Apply on the company site.
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