Founding Engineer (AI/ML)
AI summary
A founding-level AI/ML engineering role at an early-stage AI-powered recruiting marketplace. You will own the intelligence layer, building recommendation systems, ranking algorithms, and LLM-powered candidate-role matching features. The position offers a salary range of $130,000–$170,000 USD annually with visa sponsorship, based in San Francisco with a hybrid in-person setup.
- Own the AI/ML intelligence layer including recommendation and ranking systems
- Build and ship LLM-powered candidate-role matching features
- Salary range of $130,000–$170,000 USD annually with visa sponsorship
- Hybrid role based in San Francisco, California
- Work directly with the founding team in a fast-paced startup environment
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists $130,000 - $170,000 USD annually. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required3+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in Founding Engineer, AI/ML Engineer, Backend EngineerThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full-time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Founding Engineer (AI/ML) evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to BrighterMonday Uganda and the role in Not specified.
- Add concrete examples related to Founding Engineer, AI/ML Engineer, Backend Engineer, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from BrighterMonday Uganda; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
Source and safety check
- BrighterMonday Uganda
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Founding Engineer (AI/ML) role in Founding Engineer, AI/ML Engineer?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research BrighterMonday Uganda before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
This is a founding-level AI/ML engineering role at an early-stage AI-powered recruiting marketplace, where you'll own the intelligence layer that connects top talent with the right opportunities. You'll work directly alongside the founding team to build and ship recommendation systems, ranking algorithms, and LLM-powered matching - technology that sits at the core of the product.
What You'll Do
Build and own the AI/ML intelligence layer, including recommendation systems and ranking algorithms.
Develop LLM-powered candidate-role matching features and ship them to production.
Architect and maintain production-grade data pipelines and backend services integrated across the stack.
Collaborate cross-functionally to translate product goals into production-ready features.
Deliver end-to-end features with full ownership on a rapid, daily shipping cadence.
What We're Looking For
3+ years of
Experience
- building and shipping end-to-end product features in production environments.
- Demonstrated proficiency with LLM APIs and
- building LLM-powered features in production.
- building recommendation systems, ranking algorithms, or ML-powered matching systems.
- Strong proficiency with TypeScript and React in production applications.
- Hands-on
- with Supabase, Prisma, and database design in production systems.
- Familiarity with Typesense or similar search and ranking infrastructure.
- with trigger.dev or comparable workflow automation tooling in production.
- Comfortable operating in fast-paced, entrepreneurial startup environments with rapid iteration cycles.
- Strong CS fundamentals; exceptional technical achievement (e.g., notable open-source contributions or standout personal projects) is a plus.
- Compensation &
Benefits
- Salary range:
- $130,000 - $170,000 USD
- annually. Visa sponsorship is available.
- Hybrid - primary location is
- San Francisco, California
- . The team works together in-person in SF, and candidates should be open to a collaborative, in-person working environment.
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