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SeniorStaff AI Engineer
Job Location:
Monthly Salary:
Experience Required:
Posted:
1 July 2026 (30+ days ago)
Posted:
Application Deadline:
28 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Exciting opportunity!
Exciting opportunity!
We are reshaping the way engineering organizations operate with an engineering intelligence platform that provides visibility and context across the organizations software delivery systems. This deep operational context supports engineering leaders today and is increasingly essential as AI agents begin to operate within real software delivery environments. We are laying the foundation for how humans and AI will build software together in the years ahead.
Team Structure
- The platform team includes 2-3 front-end engineers 7-8 back-end engineers and currently only one AI engineer as one person recently left to pursue a non-profit venture.
Topic: Candidate Profile and Required Skills
- Seeking an AI engineer who can bridge classic machine learning with newer agentic LLM approaches emphasizing scientific rigor in testing and evaluation.
- The role requires an engineer capable of deploying their work into production including setting up helm charts and ensuring performance security and multi-tenancy compliance.
- The ideal candidate is a senior independent individual contributor likely with a machine learning background but with strong software engineering skills not just a research-focused data scientist.
Topic: AI Expertise and Tools
- Candidates should have experience integrating AI into products specifically with AI-native products or features and be very AI-forward utilizing modern tools like OpenAI and Claude.
- Familiarity with agentic flows for engineers and developer tooling with integrated AI is highly relevant especially given Ferross Clara initiative.
- Experience with tracking experiments in systems like MLflow is important demonstrating a commitment to scientific rigor in their work.
Topic: Candidate Background and Company Culture
- Education is an adjacent signal not a strict prerequisite with more emphasis on practical experience and problem-solving abilities.
- Startup experience is a nice-to-have but not essential as long as candidates can handle the chaos and constraints of a fast-moving environment.
- We value craftsmanship over throughput focusing on high-quality code and work particularly for enterprise customers with stringent security requirements.
Topic: Interview Process
- The interview process begins with an initial call with Sara to assess basic communication skills work authorization (US legal authorization no quick visa sponsorship) and fit.
- The second step is a take-home assignment expected to take about six hours over a couple of days focusing on forward-looking AI concepts.
- The final stage involves an in-person meeting for a presentation of the take-home work technical discussions about previous experience and an architectural discussion with engineers followed by culture fit interviews.
Topic: Selling Points of the Role and Company
We are growing going for a Series B and actively hiring offering stability in a challenging market.
- The work is intellectually stimulating allowing engineers to explore new AI tools and help shape the future of the product.
- The platform team is composed of highly capable motivated and independent individuals many of whom previously worked together at Salesforce fostering a culture of respect for engineers contributions.
Topic: Base salary with stock options.
Requirements
Topic: Candidate Profile and Required Skills
- Seeking an AI engineer who can bridge classic machine learning with newer agentic LLM approaches emphasizing scientific rigor in testing and evaluation.
- The role requires an engineer capable of deploying their work into production including setting up helm charts and ensuring performance security and multi-tenancy compliance.
- The ideal candidate is a senior independent individual contributor likely with a machine learning background but with strong software engineering skills not just a research-focused data scientist.
Topic: AI Expertise and Tools
- Candidates should have experience integrating AI into products specifically with AI-native products or features and be very AI-forward utilizing modern tools like OpenAI and Claude.
- Familiarity with agentic flows for engineers and developer tooling with integrated AI is highly relevant especially given Ferross Clara initiative.
- Experience with tracking experiments in systems like MLflow is important demonstrating a commitment to scientific rigor in their work.
Topic: Candidate Background and Company Culture
- Education is an adjacent signal not a strict prerequisite with more emphasis on practical experience and problem-solving abilities.
- Startup experience is a nice-to-have but not essential as long as candidates can handle the chaos and constraints of a fast-moving environment.
- We value craftsmanship over throughput focusing on high-quality code and work particularly for enterprise customers with stringent security requirements.
Required Skills:
Proficient in Python (bonus for TypeScript and React).Regularly uses AI coding assistants (e.g. Copilot Cursor). Experience building with or deploying LLMs/AI models.
Required Education:
Candidates should hold a CS or equivalent technical undergraduate degree from a U.S. school
