AngelList
Senior Software Engineer - Intelligence
AngelList, San Francisco, California, United States, 94199
About the Role
AngelList is seeking Senior Software Engineers to join our Intelligence team. You will design, build, and operate services that power retrieval, semantic search, agent orchestration, model integrations, and data pipelines that turn our proprietary signals into product features.
For context on our product direction, see: https://www.angellist.com/blog/building-agents-at-angellist
Responsibilities
Work with one of the deepest private‑market datasets in the world and build systems that surface high‑value signals for investors.
Design and operate OpenSearch‑backed retrieval and semantic search systems and tune them for real product use.
Build and run agent orchestration, model integrations, and safety layers for LLM‑driven workflows.
Prototype new AI‑driven features and productionize them in a Go‑first codebase.
Own large features end‑to‑end and improve our testing, observability, and operational practices.
Candidate Profile
A full‑stack generalist or backend specialist who can work across the stack, with at least 4+ years of experience building large‑scale web applications or backend services.
Comfortable writing clean, production‑quality Go (Golang) code, including services, libraries, and tests.
Experienced in production search systems such as OpenSearch, Elasticsearch, or comparable platforms, with a track record of designing mappings and tuning queries for real traffic.
Excited about LLMs, agents, embeddings, and retrieval, and able to turn prototypes into reliable, instrumented services. Experience with working with LLM APIs, tokenizers, or cloud GenAI SDKs is a plus.
Comfortable with and curious about working outside of a traditional, narrow engineering role.
A self‑starter: you have started something meaningful on your own – a startup, an open‑source project, or something else to share with us!
Success Metrics
Consistently delivers high‑quality, well‑tested code that meets the team’s goals and timelines.
Actively contributes to team discussions and decisions, bringing thoughtful technical perspectives.
Mentors and supports other engineers, helping to elevate the overall team performance.
Location AngelList has offices in a few cities, and our engineering hub in San Francisco. We’re focused on hiring from this hub office so engineers and product teams can collaborate in the office at least twice per week (Tuesdays and choice between Wednesday or Thursday).
Compensation The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $200,000+ annually but actual will vary based on a number of factors including a candidate’s professional background, experience, and location. Additional details about our Total Rewards package will be provided during the recruitment process.
Benefits
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
Disability insurance
Equal Opportunity Statement AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Referrals Referrals increase your chances of interviewing at AngelList by 2x.
#J-18808-Ljbffr
For context on our product direction, see: https://www.angellist.com/blog/building-agents-at-angellist
Responsibilities
Work with one of the deepest private‑market datasets in the world and build systems that surface high‑value signals for investors.
Design and operate OpenSearch‑backed retrieval and semantic search systems and tune them for real product use.
Build and run agent orchestration, model integrations, and safety layers for LLM‑driven workflows.
Prototype new AI‑driven features and productionize them in a Go‑first codebase.
Own large features end‑to‑end and improve our testing, observability, and operational practices.
Candidate Profile
A full‑stack generalist or backend specialist who can work across the stack, with at least 4+ years of experience building large‑scale web applications or backend services.
Comfortable writing clean, production‑quality Go (Golang) code, including services, libraries, and tests.
Experienced in production search systems such as OpenSearch, Elasticsearch, or comparable platforms, with a track record of designing mappings and tuning queries for real traffic.
Excited about LLMs, agents, embeddings, and retrieval, and able to turn prototypes into reliable, instrumented services. Experience with working with LLM APIs, tokenizers, or cloud GenAI SDKs is a plus.
Comfortable with and curious about working outside of a traditional, narrow engineering role.
A self‑starter: you have started something meaningful on your own – a startup, an open‑source project, or something else to share with us!
Success Metrics
Consistently delivers high‑quality, well‑tested code that meets the team’s goals and timelines.
Actively contributes to team discussions and decisions, bringing thoughtful technical perspectives.
Mentors and supports other engineers, helping to elevate the overall team performance.
Location AngelList has offices in a few cities, and our engineering hub in San Francisco. We’re focused on hiring from this hub office so engineers and product teams can collaborate in the office at least twice per week (Tuesdays and choice between Wednesday or Thursday).
Compensation The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $200,000+ annually but actual will vary based on a number of factors including a candidate’s professional background, experience, and location. Additional details about our Total Rewards package will be provided during the recruitment process.
Benefits
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
Disability insurance
Equal Opportunity Statement AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Referrals Referrals increase your chances of interviewing at AngelList by 2x.
#J-18808-Ljbffr