Cadre Inc
Senior Full-Stack Engineer
Location:
San Francisco, CA (In-Person)
Type:
Full-Time
Compensation:
$150k – $250k + 0.01% – 0.25% Equity
Start Date:
Hiring Immediately (7+ roles open)
Visa:
Not available
About the job Why Alex? Alex is one of the fastest growing startups to come out of its YC batch with strong traction. We’re generating revenue and are well‑funded by some of the best investors in the Valley with years of runway.
What are you up to? Alex is building the future of hiring. Alex is an AI recruiter that conducts job interviews in real‑time. Companies use Alex to get the best hiring signal on their applicant pool and hire in a fraction of the time.
Alex has a live conversation over a video/phone call with each candidate based on the interview questions our customers choose or that are recommended based on their job description. During the interview, Alex asks personalized follow‑up questions in real‑time based on the candidate's responses. Alex has already conducted thousands of interviews across engineering, IT, retail, hospitality, and more.
Who are you? We’re people who:
genuinely enjoy solving complex engineering problems
learn quickly and do what it takes to deliver results
work really, really hard
move with urgency
enjoy and value working together in person in SF 5 days a week
What technologies do you use? You should have experience in:
Javascript (Typescript, React, Node, Next)
Python (FastAPI, concurrency)
Cloud / DevOps (Azure, Kubernetes, Docker)
System Architecture
We also prefer candidates with experience in:
Great frontend design (Figma)
ML/DL (open source, inference at scale)
What can I work on? Our product is built and operates like a marketplace, as we serve both candidates through the interview experience and employers through the data aggregation and analysis platform. As a hands‑on engineer, you will build both consumer‑facing and enterprise‑grade software, designed for scale.
Problems that you could work on related to consumer software are:
How can we bring the average interviewer response latency down to 200ms?
How can we fine‑tune our models to decrease hallucination and increase response accuracy?
How will our system architecture change as we scale to thousands more users, concurrently?
Problems that you could work on related to enterprise software are:
How do we integrate with our customer’s internal hiring systems?
What’s the best way to present the interview data visually and as fast as possible?
And many, many feature requests that need to be built out!
What’s in it for me?
Take ownership of building the next billion dollar company
Collaborate with a tight‑knit team of talented builders
Launch products that directly impact people’s careers
Work with the co‑founders every day in‑person in SF
Competitive salary and equity
Health/vision/dental insurance, 401(k), unlimited PTO, and great company events
If you’ve gotten this far and our culture/tech resonate with you, we want you to apply . Submit your application with the phrase "fast track" and we’ll fast track your application with an interview directly.
️ What You’ll Work On As a hands‑on engineer, you'll help us design and build the systems that power both sides of this marketplace. Your work will touch everything from real‑time AI infrastructure to scalable backend integrations and intuitive frontends.
Consumer‑Facing Engineering Challenges
Bring AI interviewer response latency under 200ms
Scale infrastructure to handle 1,000+ concurrent interviews globally and compliantly
Build and maintain a vector database for matching candidates on complex traits
Enterprise‑Facing Engineering Challenges
Integrate with customer ATS and internal hiring systems
Build blazing‑fast visualizations of interview data
Ship countless new feature requests from our growing customer base
Responsibilities
Build and own full‑stack products across consumer and enterprise platforms
Optimize performance across frontend, backend, and AI interfaces
Scale system architecture and infrastructure (Azure, Kubernetes, Docker)
Integrate third‑party systems and APIs with precision and stability
Visualize complex interview data clearly and efficiently
Collaborate cross‑functionally with co‑founders and the broader team
Launch impactful features fast—weekly, not quarterly
Work in‑person with an ambitious team based in SF
Ideal Candidate Profile Experience
5+ years of full‑stack engineering experience (staff, senior, or principal level)
Built production systems with React (TypeScript) and Python (FastAPI, asyncio)
Experience at a fast‑growing startup for 2+ years
Strong understanding of vector databases, embeddings, or semantic search
Familiar with DevOps and Cloud Infra (Azure, Docker, Kubernetes)
Solid grasp of PostgreSQL and data modeling
Degree in CS / Math / Engineering from a top‑tier university
Skills & Traits
Strong frontend design sense; can bring Figma designs to life
Operates with ownership, urgency, and pragmatism
Excited by ambiguity and end‑to‑end product development
Willing and eager to work in‑person 5 days/week in San Francisco
Interview Process Tips We’ll ask things like:
Have you built a full‑stack app in React? Did it have its own backend?
Can you relocate to SF, or are you already here?
What are your salary expectations and current recruiting activity?
Tech Stack
Frontend: React (TypeScript)
Backend: Python (FastAPI, asyncio)
Infra: Azure, Kubernetes, Docker
Database: Postgres, Vector Databases
Design: F
#J-18808-Ljbffr
San Francisco, CA (In-Person)
Type:
Full-Time
Compensation:
$150k – $250k + 0.01% – 0.25% Equity
Start Date:
Hiring Immediately (7+ roles open)
Visa:
Not available
About the job Why Alex? Alex is one of the fastest growing startups to come out of its YC batch with strong traction. We’re generating revenue and are well‑funded by some of the best investors in the Valley with years of runway.
What are you up to? Alex is building the future of hiring. Alex is an AI recruiter that conducts job interviews in real‑time. Companies use Alex to get the best hiring signal on their applicant pool and hire in a fraction of the time.
Alex has a live conversation over a video/phone call with each candidate based on the interview questions our customers choose or that are recommended based on their job description. During the interview, Alex asks personalized follow‑up questions in real‑time based on the candidate's responses. Alex has already conducted thousands of interviews across engineering, IT, retail, hospitality, and more.
Who are you? We’re people who:
genuinely enjoy solving complex engineering problems
learn quickly and do what it takes to deliver results
work really, really hard
move with urgency
enjoy and value working together in person in SF 5 days a week
What technologies do you use? You should have experience in:
Javascript (Typescript, React, Node, Next)
Python (FastAPI, concurrency)
Cloud / DevOps (Azure, Kubernetes, Docker)
System Architecture
We also prefer candidates with experience in:
Great frontend design (Figma)
ML/DL (open source, inference at scale)
What can I work on? Our product is built and operates like a marketplace, as we serve both candidates through the interview experience and employers through the data aggregation and analysis platform. As a hands‑on engineer, you will build both consumer‑facing and enterprise‑grade software, designed for scale.
Problems that you could work on related to consumer software are:
How can we bring the average interviewer response latency down to 200ms?
How can we fine‑tune our models to decrease hallucination and increase response accuracy?
How will our system architecture change as we scale to thousands more users, concurrently?
Problems that you could work on related to enterprise software are:
How do we integrate with our customer’s internal hiring systems?
What’s the best way to present the interview data visually and as fast as possible?
And many, many feature requests that need to be built out!
What’s in it for me?
Take ownership of building the next billion dollar company
Collaborate with a tight‑knit team of talented builders
Launch products that directly impact people’s careers
Work with the co‑founders every day in‑person in SF
Competitive salary and equity
Health/vision/dental insurance, 401(k), unlimited PTO, and great company events
If you’ve gotten this far and our culture/tech resonate with you, we want you to apply . Submit your application with the phrase "fast track" and we’ll fast track your application with an interview directly.
️ What You’ll Work On As a hands‑on engineer, you'll help us design and build the systems that power both sides of this marketplace. Your work will touch everything from real‑time AI infrastructure to scalable backend integrations and intuitive frontends.
Consumer‑Facing Engineering Challenges
Bring AI interviewer response latency under 200ms
Scale infrastructure to handle 1,000+ concurrent interviews globally and compliantly
Build and maintain a vector database for matching candidates on complex traits
Enterprise‑Facing Engineering Challenges
Integrate with customer ATS and internal hiring systems
Build blazing‑fast visualizations of interview data
Ship countless new feature requests from our growing customer base
Responsibilities
Build and own full‑stack products across consumer and enterprise platforms
Optimize performance across frontend, backend, and AI interfaces
Scale system architecture and infrastructure (Azure, Kubernetes, Docker)
Integrate third‑party systems and APIs with precision and stability
Visualize complex interview data clearly and efficiently
Collaborate cross‑functionally with co‑founders and the broader team
Launch impactful features fast—weekly, not quarterly
Work in‑person with an ambitious team based in SF
Ideal Candidate Profile Experience
5+ years of full‑stack engineering experience (staff, senior, or principal level)
Built production systems with React (TypeScript) and Python (FastAPI, asyncio)
Experience at a fast‑growing startup for 2+ years
Strong understanding of vector databases, embeddings, or semantic search
Familiar with DevOps and Cloud Infra (Azure, Docker, Kubernetes)
Solid grasp of PostgreSQL and data modeling
Degree in CS / Math / Engineering from a top‑tier university
Skills & Traits
Strong frontend design sense; can bring Figma designs to life
Operates with ownership, urgency, and pragmatism
Excited by ambiguity and end‑to‑end product development
Willing and eager to work in‑person 5 days/week in San Francisco
Interview Process Tips We’ll ask things like:
Have you built a full‑stack app in React? Did it have its own backend?
Can you relocate to SF, or are you already here?
What are your salary expectations and current recruiting activity?
Tech Stack
Frontend: React (TypeScript)
Backend: Python (FastAPI, asyncio)
Infra: Azure, Kubernetes, Docker
Database: Postgres, Vector Databases
Design: F
#J-18808-Ljbffr