Senior Software Engineer - AI Products
Veho
Software Engineering, Data Science
San Francisco, CA, USA
USD 190k-260k / year + Equity
Posted on Mar 10, 2026
Senior Software Engineer - AI Products
San Francisco
Engineering
Hybrid
Full-time
About Gem
Gem is the only AI-first all-in-one recruiting platform. Over 1,000 industry leaders including Anthropic, Reddit, Figma, Zillow, Robinhood, and DoorDash trust Gem to fuel their growth and recognize Gem as one of the highest-satisfaction products on G2 with a 4.8/5.0 rating. The company has raised $148M from renown investors including Accel, Greylock, ICONIQ, Sapphire, and Meritech.
We work in our San Francisco office three days per week. In-person collaboration is core to how we ship quickly and build great products together. We offer relocation assistance for strong candidates interested in joining us in SF.
About the Role
We're hiring senior and staff engineers to join our AI product engineering team. Here's what makes this different: at Gem, software engineers don't just build around models, they work directly on them. You'll fine-tune LLMs and embedding models, rethink our search architecture, clean and optimize data flows, and make calls on what systems and infrastructure we use. This team provides high ownership with the opportunity to experiment, prototype and then ship to tproduction. Nothing is off the table if it makes our search faster and more accurate.
This is hands-on work from end to end. You'll integrate directly with LLMs and rerankers, experiment with new models as they launch, build evaluation systems to measure what actually matters, and own the entire stack from Snowflake data pipelines to embedding queries to the UI someone sees in their browser.
Recruiting is an industry ripe for AI transformation, the features you build will directly help companies discover and hire exceptional talent, impacting their success. Unlike generic ML tooling, the work you do here changes how teams scale and how people land meaningful jobs.
What You’ll Build
- Model work: fine-tuning LLMs and embedding models for recruiting queries, testing new providers as they launch, building systems to evaluate what actually improves search quality
- Search at scale: making semantic search instant across 800M+ profiles, integrating rerankers to surface better candidates, designing the feedback loops that help search get smarter
- Data infrastructure: owning pipelines in Snowflake that feed our models, cleaning and structuring candidate data, building the systems that let us experiment quickly without breaking production
- Shipping full-stack features: writing the code from prompt engineering to UI, creating interfaces that make complex search feel simple, iterating based on what recruiters actually tell us
What You Bring
About You
- You have 5+ years of industry experience as a software engineer, building user-facing products.
- You enjoy mentoring, working cross-functionally, and working directly with customers.
- You move with velocity and invest in improving your craft.
- You prioritize technical quality, building reliable and scalable systems.
- You are product-oriented and you don’t hesitate in making decisions.
- You are energized by collaborating in-office with your peers in a hybrid model.
Extra Credit:
- You've built agents or worked on eval infrastructure
- You know your way around vector databases (Pinecone, Weaviate, Qdrant) or search systems (Elasticsearch)
- You've worked with RAG architectures or ML observability
- You've worked at an early-stage startup where you had to figure things out yourself
- Background in information retrieval, ranking, NLP, or recommendation systems
- Experience with data pipelines (Snowflake, dbt), model deployment, or monitoring models in production
- Comfortable in Python and working with ML frameworks like PyTorch or TensorFlow
How We Work
We've removed most development friction:
- Local dev with Vite boots instantly with hot-reload
- CI runs in ~10 minutes, deploys go straight to production
- We ship fast and iterate based on customer feedback
Our engineering culture:
- Reasonable hours
- Weekly team events and happy hours
- Regular hackathons for experimental features
- Team from Meta, Uber, and Dropbox
This role offers the chance to work on a small, world-class team (ex-Meta, Uber, Dropbox) building real products in a fast-moving, user-focused environment. You’ll have high ownership, lots of say in how we build, and the opportunity to shape both technology and team norms as we scale. If you’re excited by the idea of shipping something impactful, iterating quickly, and seeing your work change how companies hire – we’d love to talk to you.
Benefits
- 10-year stock option exercise window
- Flexible Time Off and 16 paid holidays (including company wellness days)
- Best-in-class medical, dental, and vision coverage
- $1,200 annual learning and development stipend
- 16 weeks paid parental leave for all parents, plus $1,500 new-parent perk and flexible return-to-work options
Role Details
- Location: This role is based 3 days per week out of our San Francisco HQ and is not eligible for full-time remote work.
- Compensation: The annual cash compensation range for this position is $190,000–$260,000 based on level in addition to equity & benefits.
The range displayed on this job posting reflects the minimum and maximum compensation. Factors including location, level, job-related knowledge, skills, and experience will determine compensation.
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We may provide immigration and sponsorship support to new employees based on their unique circumstances.
Do you have at least 1 year of full-time industry experience applying AI/ML in production environments (beyond academic or internship work)? If yes, please briefly describe one project and the specific role you played in bringing it to production. *
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To comply with government reporting requirements, we invite candidates to participate in the self-identification survey below. Your completion of this form is entirely optional, and your decision will neither influence the hiring process nor any subsequent stages. Any information you choose to share will be kept confidential and stored in a secure file. As outlined in our Equal Employment Opportunity policy, we uphold a commitment to non-discrimination based on any protected group status specified in applicable laws.
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Voluntary Self-Identification of Veteran Status
VEVRAA requires Government contractors to take affirmative action to employ and advance in employment protected veterans. To help us measure the effectiveness of our outreach and recruitment efforts of veterans, we are asking you to tell us if you are a veteran covered by VEVRAA. If you believe that you belong to any of the following categories of protected veterans, please indicate by making the appropriate selection.
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Disabled veteran
A veteran who served on active duty in the U.S. military and is entitled to disability compensation (or who but for the receipt of military retired pay would be entitled to disability compensation) under laws administered by the Secretary of Veterans Affairs, or was discharged or released from active duty because of a service-connected disabilityRecently separated veteran
A veteran separated during the three-year period beginning on the date of the veteran's discharge or release from active duty in the U.S military, ground, naval, or air serviceActive duty wartime or campaign badge veteran
A veteran who served on active duty in the U.S. military during a war, or in a campaign or expedition for which a campaign badge was authorized under the laws administered by the Department of DefenseArmed Forces service medal veteran
A veteran who, while serving on active duty in the U.S. military ground, naval, or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985 (61 Fed. Reg. 1209).Veteran status
Req ID: R20220337
