Founding Engineer Applied AI

Smvsoft LLC.

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Founding Engineer - Applied AI
San Francisco CA (Full-time)- In-Office
$180k-$230k base annually
NO C2C

About the Role
Hiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.
This is a deeply technical high-impact role. You will be among the first technical hires and will own mission-critical systems end-to-end. The problems are ambiguous the constraints are real and the expectations are high. If you move fast from idea to production care deeply about customer experience and want to build foundational AI infrastructure for the worlds most impactful industries this role is for you.
Key Responsibilities

Design and implement core workflows and infrastructure for hardware engineering agents including intelligent context management novel indexing approaches and post-training
Build agents and ML models that can interpret reason over and manipulate complex engineering design data integrating with enterprise-grade engineering tools and systems
Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable intuitive and trusted in production environments
Prototype rapidly validate ideas with real users and ship frequently
Influence engineering culture architecture decisions and the future of the product

Requirements
Must-Have

Bachelors or higher in Computer Science Machine Learning or equivalent experience
Strong familiarity with LLM architectures and agent research trends
Excellent programming skills with experience using ML libraries such as PyTorch Hugging Face and W&B
Experience building production ML or AI systems
Solid practical experience with search and information retrieval
Moves fast from idea to production with a genuine care for customer experience
Based in or willing to relocate to San Francisco or an exceptional remote candidate

Nice-to-Have

3 years in applied machine learning backend engineering or AI infrastructure
Experience working with machine learning over geometric data including CAD
Track record of high-impact contributions or published papers at top-tier AI labs or teams

Required Skills:

PYTORCHAIML

Founding Engineer - Applied AISan Francisco CA (Full-time)- In-Office$180k-$230k base annuallyNO C2C About the RoleHiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.This is a deeply technical high-impact role. You will be among...

Founding Engineer - Applied AI
San Francisco CA (Full-time)- In-Office
$180k-$230k base annually
NO C2C

Design and implement core workflows and infrastructure for hardware engineering agents including intelligent context management novel indexing approaches and post-training
Build agents and ML models that can interpret reason over and manipulate complex engineering design data integrating with enterprise-grade engineering tools and systems
Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable intuitive and trusted in production environments
Prototype rapidly validate ideas with real users and ship frequently
Influence engineering culture architecture decisions and the future of the product

Requirements
Must-Have

Bachelors or higher in Computer Science Machine Learning or equivalent experience
Strong familiarity with LLM architectures and agent research trends
Excellent programming skills with experience using ML libraries such as PyTorch Hugging Face and W&B
Experience building production ML or AI systems
Solid practical experience with search and information retrieval
Moves fast from idea to production with a genuine care for customer experience
Based in or willing to relocate to San Francisco or an exceptional remote candidate

Nice-to-Have

3 years in applied machine learning backend engineering or AI infrastructure
Experience working with machine learning over geometric data including CAD
Track record of high-impact contributions or published papers at top-tier AI labs or teams

Required Skills:

PYTORCHAIML