Salary
$120k – $160k per year
Location
Remote (United States)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 5 · for this role: 4
Employment
Full-Time
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on May 14, 2026.
Overview
Company
Impact
Profile match
Foundation EGI automates engineering documentation, technical drawings, parts catalogs, and process planning using domain-specific AI built for manufacturing.
Backed by Plug and Play, E14 Fund, McRock Capital
Requirements:
- Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud and AWS.
- Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift.
- Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent.
- Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers.
- Write clean, well-documented, fast, and maintainable code.
- Help ensure our systems have high availability and performance.
- Experience in computer graphics or physics-based simulation.
- Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
- Experience with Vertex AI.
- Experience working with custom Domain-Specific Languages.
About Us:
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'-an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
What we're looking for
- BS in Computer Science or a related field.
- 5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent.
- Expert-level Python and TypeScripts skills.
- Experience with Docker, Kubernetes, Terraform, Google Cloud and AWS.
- Deep understanding of machine learning models, including LLMs.
- Experience designing and maintaining CI/CD pipelines to fine-tune or train ML models.
- Excellent written and verbal communication skills.
Bonus Points
- Experience in computer graphics or physics-based simulation.
- Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
- Experience with Vertex AI.
- Experience working with custom Domain-Specific Languages.
Our tech stack
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