Clera
Staff Engineer - Agentic AI
San Francisco. Posted 5 months ago
The role
You will own the core agent intelligence layer to turn engineer intent into multi-step workflows across desktop engineering tools. You will lead a small team of AI engineers, a user researcher, and domain expert contractors.
What you will do
- Lead development of the core agent intelligence layer for desktop engineering software.
- Serve as technical lead for a small team of AI engineers, a user researcher, and domain expert contractors.
- Own the full product loop from user stories to implementation and benchmarking.
- Drive agent task success rate by defining eval frameworks and improving completion metrics.
- Set and enforce per-task token budgets and track cost per completed workflow.
- Build reproducible evaluation infrastructure grounded in validated user stories.
- Lead user story mapping and validation through interviews and collaboration.
- Own agent architecture decisions including tool-calling, state management, and model routing.
- Act as a player-coach by writing production code and reviewing designs.
- Collaborate cross-functionally with integrations, product, and customers during POCs.
Required qualifications
- 7+ years in software engineering
- At least 2 years building agentic LLM-based agents that act in the real world
- Deep experience designing LLM application architectures
- Strong evaluation and benchmarking instincts for agentic systems
- Proven track record shipping AI systems with measurable outcomes
- Strong Python skills
- Hands-on experience with LLM tooling
- Experience leading a small technical team of 3–6 engineers
Nice to have
- Experience with desktop automation, COM, or programmatic control of applications
- Background in mechanical engineering, CAD/CAE, PLM, or adjacent industries
- Familiarity with enterprise deployment constraints
- Published work or open-source contributions in agentic AI systems
- Experience building or contributing to public benchmarks for AI agents
Benefits
- Equity participation in an early-stage, Series A company
Before you apply
- Visa sponsorship is not available for this role
About the company
clera is a well-funded, early-stage AI startup in the mechanical engineering software space. The company serves Fortune 100 hardware engineering customers.