Senior Software Engineer - AI Products

About Gem

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

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.

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

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

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.

Details

Location

Salary

$190,000 – $260,000/year

Experience

Min. 5 years5+ years of industry experience as a software engineer, building user-facing products.

Technologies

Senior Software Engineer - AI Products

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

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.

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

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

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.