Founding Engineer, Applied AI
True Talent Solutions Partners · San Francisco · Onsite
Strong hiring record · median 1 days open
Hiring signal
Actively hiring
Posted yesterday · still listed on the employer's own board · How we score
All reasons
In its favour
- Posted yesterday
- Still listed on the employer's own board
- Publishes a salary range
About the Role
Join an early-stage AI/ML team building automation software for complex manufacturing and hardware engineering. You will help shape the core product, technical architecture, and engineering culture while delivering AI systems for real-world engineering workflows.
What You'll Do
- Design and build core workflows and infrastructure for AI agents used in hardware engineering, including context management, indexing, and post-training systems.
- Develop AI agents and machine learning models that interpret, reason over, and manipulate complex engineering design data.
- Work with customers and teammates to deliver reliable, intuitive AI workflows for production use.
- Prototype ideas with users and ship improvements from initial concept through deployment.
- Help shape engineering practices, architecture, and the product roadmap as an early technical hire.
What We're Looking For
- Two to six years of experience in applied machine learning, backend engineering, or AI infrastructure, or exceptional new graduates with strong fundamentals.
- Strong familiarity with LLM architectures and current agent research.
- Experience building production machine learning or AI systems, including practical search and information retrieval work.
- Strong Python skills and hands-on experience with PyTorch, Hugging Face, and Weights & Biases.
- A bachelor's degree or higher in computer science, machine learning, or an equivalent field.
- Experience with geometric data, CAD systems, or impactful AI research is a plus.
- A builder mindset, with the ability to move quickly from ideas to production and a focus on customer experience.
Compensation & Benefits
Base salary range
$180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
Skills
- Machine Learning
- LLM
- Python
- PyTorch
- Hugging Face
- Weights & Biases
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