Senior Technical Leader — Agentic AI (Engineering Tools)
Fruition Executive Search · CA, US
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About the Role
Lead the core agent intelligence development that transforms mechanical engineers' intent into reliable, cost-efficient multi-step workflows across desktop engineering tools. This role combines applied agentic AI, user research, and product delivery to define the product's real-world value for enterprise customers.
Responsibilities
- Lead development of the core agent intelligence layer for executing multi-step workflows across complex desktop engineering software.
- Serve as technical lead for a team of AI engineers, a user researcher, and domain expert contractors.
- Own the full product loop: define agent capabilities from user stories, build implementations, and benchmark against real workflows.
- Drive agent task success rate by defining evaluation frameworks, establishing baselines, and iterating to improve completion metrics.
- Set and enforce per-task token budgets and track cost per completed workflow for commercial viability.
- Build rigorous, reproducible evaluation infrastructure grounded in validated user stories.
- Lead user story mapping and validation through interviews and collaboration with domain experts.
- Translate validated user stories into testable evaluations and close the loop between research and benchmarking.
- Own agent architecture decisions including tool-calling, state management, error recovery, model routing, and context management.
- Act as a player-coach: write production code, review designs, unblock the team, and raise engineering standards.
- Collaborate cross-functionally with integrations, product, and customers during POCs.
Requirements
- 7+ years of software engineering experience.
- At least 2 years building agentic LLM-based agents that act in the real world.
- Deep experience designing LLM application architectures: model selection, context/window management, retrieval, orchestration patterns.
- Proven ability to build evaluation and benchmarking frameworks measuring task completion, cost efficiency, and failure modes.
- Technical leadership experience setting direction for small teams (3–6 engineers) and performing meaningful code review.
- Strong Python skills.
- Familiarity with LLM tooling (function calling, tool APIs, observability/tracing, evaluation frameworks).
- Experience with desktop automation or programmatic control of applications (COM or similar).
- Domain experience in mechanical engineering, CAD/CAE, PLM, or adjacent industries.
- Understanding of enterprise deployment constraints on locked-down corporate workstations.
- Track record contributing to public benchmarks, publications, or open-source agentic AI projects.
Skills
- Agentic LLM-based agents
- LLM application architectures
- Evaluation and benchmarking frameworks
- Python
- LLM tooling
- Desktop automation
- Programmatic control of applications
- Mechanical engineering
- CAD/CAE
- PLM
Location
- San Francisco, CA
Work Type
- On-site
- Full-time
Experience Level
- Senior
- 7+ years software engineering
- 2+ years building agentic LLM-based agents
About the Company
- Our client is hiring a senior technical leader to own the core agent intelligence that turns mechanical engineers' intent into reliable, cost-efficient multi-step workflows across desktop engineering tools.