Logo for Clera

Founding Engineer

Role overview

Qualifications

  • 4 or more years of shipping software to production
  • Proven experience putting AI into production
  • Strong Python skills and backend or ML systems engineering experience
  • Excellent communication skills

Responsibilities

  • Design and build the system architecture that integrates AI agents with CAD, CAE, and PLM tools
  • Own end-to-end engineering execution: architecture decisions, production delivery, and observability
  • Ship your first production AI workflow into a live customer program
  • Contribute input to the product roadmap and expand the platform across multiple operating companies

Key facts

  • Remote from: New York (USA)
  • Full time
  • Mid-level (2-5 years)
  • Field Engineer (Solutions)
  • 150 - 220K yearly
  • English

Hard skills

Other skills

  • Communication
  • Teamwork
  • Critical Thinking
  • Relationship Building

About the company

Clera logo

Clera

Staffing & Recruiting

Clera is the first AI talent agent: a personal headhunter that acts on behalf of top talent. We connect you to your dream job.

Company details

IndustryStaffing & Recruiting
Company size1 - 10

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About the Role

This is a founding engineer position at an early-stage AI startup bringing AI-powered workflows to hardware engineering teams in defense and medical device industries. You will own the full technical stack, partnering directly with the CTO to take the system from architecture through production, inside real customer programs. The work you ship will directly shape how experienced engineering teams operate, and every engineer hired after you will build on the foundation you set.

What You'll Do

  • Design and build the system architecture that integrates AI agents with CAD, CAE, and PLM tools, while meeting the security requirements of defense and medical customers.

  • Own end-to-end engineering execution: architecture decisions, production delivery, observability, evaluation suites, regression testing, and on-call operations.

  • Ship your first production AI workflow into a live customer program, one that engineers use and depend on regularly.

  • Build evaluation and training loops that improve the system using simulation runs, test data, engineer corrections, and field outcomes, including reinforcement learning grounded in real physics.

  • Spend time with engineers at partner companies, identify where the system fails against real deadlines, and turn those learnings into platform capabilities.

  • Contribute input to the product roadmap and execute on it quickly inside live engineering programs.

  • Expand the platform across multiple operating companies with measurable cycle-time reduction, while building and mentoring a small team.

What We're Looking For

  • 4 or more years of shipping software to production, including systems that real customers depended on daily.

  • Proven experience putting AI into production: shipped LLM agent workflows that call real tools, handle failure gracefully, and are held to rigorous evaluation suites.

  • Strong Python skills and backend or ML systems engineering experience in production AI systems.

  • Experience at a high-growth or early-stage company with a fast-paced engineering culture.

  • Strong CS fundamentals, ideally from a rigorous academic or industry background.

  • Ability to design honest evaluations and judge when the right answer is retrieval, fine-tuning, reinforcement learning, or plain software.

  • Excellent communication skills and the ability to earn trust with experienced domain engineers on a shop floor.

  • Comfortable with travel to partner company sites and working fully in-person.

  • Background in frontier AI, applied AI, industrial software, simulation, CAD/CAE/EDA, or physical-world AI is a strong plus.

  • Experience with reinforcement learning, fine-tuning, or deployed AI systems iterated on real-world failure modes is a plus.

  • Authorization to work in the United States without visa sponsorship is required.

Compensation & Benefits

Base salary: $150,000 to $220,000 USD annually. Equity is part of the package given the founding-team nature of this role. Visa sponsorship is not available.

Location

This is a full-time, on-site role based in New York City, NY. Regular travel to partner engineering companies is expected.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Field Engineer (Solutions) Related jobs

Other jobs at Clera

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.