Recruiting From Scratch
Member of Technical Staff - Backend
Recruiting From Scratch, San Francisco, California, United States, 94199
Overview
Title:
Member of Technical Staff – Backend
Location:
San Francisco, CA (Onsite, 5 days per week)
Company Stage of Funding:
Acquired (operating independently under new ownership)
Office Type:
Onsite (Union Square, San Francisco)
Salary:
$200K – $325K base + bonus + equity
Company Description Our client is an innovative AI and automation company that builds intelligent platforms to transform complex document workflows into structured, actionable data. Their technology combines cutting-edge machine learning and large language models (LLMs) to streamline data-heavy tasks that traditionally take hours, reducing them to minutes.
The company recently joined forces with a global enterprise while maintaining its startup agility, product velocity, and strong engineering culture. The result? The best of both worlds — the speed and ownership of a small, mission-driven team, backed by the stability and resources of an industry leader.
What You Will Do As a
Member of Technical Staff – Backend , you’ll play a key role in architecting and building core backend systems that power AI-driven data extraction and automation products. You’ll collaborate closely with ML and product teams to deliver scalable, high-performance solutions that directly impact customers.
Key responsibilities include:
Designing and developing backend systems that deploy machine learning capabilities in both training and production environments.
Driving architectural decisions for core services that enable rapid iteration and reliable performance.
Building integrations between ML inference pipelines, monitoring tools, APIs, and user-facing applications.
Developing database and data processing layers that support complex business logic.
Improving CI/CD pipelines to accelerate delivery velocity and ensure robust deployments.
Partnering directly with customers to understand workflow challenges and shape product outcomes.
Ideal Candidate Background We’re looking for a strong backend engineer with 5+ years of experience who thrives in fast-paced environments and enjoys solving real customer problems with elegant, scalable systems.
5+ years of backend software engineering experience (Python preferred).
Proven experience designing distributed systems and working with large-scale data.
Strong understanding of APIs, web frameworks (e.g. Django, FastAPI, Flask), and database architecture.
Hands-on experience with Kubernetes, GCP (or AWS/Azure equivalents), and workflow management platforms.
A track record of high ownership and growth — ideally with visible career progression or technical leadership in past roles.
Excellent communication skills and the ability to collaborate with product and customer-facing teams.
Preferred Qualifications
Experience with ML or data infrastructure, including serving or deploying machine learning models.
Familiarity with LLM-powered systems or AI applications.
Prior work at high-growth startups or companies with strong engineering cultures.
Experience in industries like fintech, automation, or enterprise data systems.
Compensation and Benefits
Base Salary:
$200K – $325K (depending on experience)
Bonus and Equity:
Competitive package including performance-based bonuses and stock options
Work Environment:
Onsite 5 days/week in the company’s Union Square office in San Francisco
Additional Benefits:
Comprehensive health coverage, generous PTO, and access to top-tier engineering tools and infrastructure
Why Join
Massive Impact:
Build core infrastructure used by top-tier professional service firms and financial institutions.
Startup Speed, Enterprise Stability:
Enjoy the agility of a lean, high-performing startup with the backing of a global enterprise.
Top-Tier Talent:
Work alongside exceptional engineers and product leaders who move fast and value quality craftsmanship.
Cutting-Edge Technology:
Be part of building production-grade AI systems that redefine what’s possible in data automation.
#J-18808-Ljbffr
Member of Technical Staff – Backend
Location:
San Francisco, CA (Onsite, 5 days per week)
Company Stage of Funding:
Acquired (operating independently under new ownership)
Office Type:
Onsite (Union Square, San Francisco)
Salary:
$200K – $325K base + bonus + equity
Company Description Our client is an innovative AI and automation company that builds intelligent platforms to transform complex document workflows into structured, actionable data. Their technology combines cutting-edge machine learning and large language models (LLMs) to streamline data-heavy tasks that traditionally take hours, reducing them to minutes.
The company recently joined forces with a global enterprise while maintaining its startup agility, product velocity, and strong engineering culture. The result? The best of both worlds — the speed and ownership of a small, mission-driven team, backed by the stability and resources of an industry leader.
What You Will Do As a
Member of Technical Staff – Backend , you’ll play a key role in architecting and building core backend systems that power AI-driven data extraction and automation products. You’ll collaborate closely with ML and product teams to deliver scalable, high-performance solutions that directly impact customers.
Key responsibilities include:
Designing and developing backend systems that deploy machine learning capabilities in both training and production environments.
Driving architectural decisions for core services that enable rapid iteration and reliable performance.
Building integrations between ML inference pipelines, monitoring tools, APIs, and user-facing applications.
Developing database and data processing layers that support complex business logic.
Improving CI/CD pipelines to accelerate delivery velocity and ensure robust deployments.
Partnering directly with customers to understand workflow challenges and shape product outcomes.
Ideal Candidate Background We’re looking for a strong backend engineer with 5+ years of experience who thrives in fast-paced environments and enjoys solving real customer problems with elegant, scalable systems.
5+ years of backend software engineering experience (Python preferred).
Proven experience designing distributed systems and working with large-scale data.
Strong understanding of APIs, web frameworks (e.g. Django, FastAPI, Flask), and database architecture.
Hands-on experience with Kubernetes, GCP (or AWS/Azure equivalents), and workflow management platforms.
A track record of high ownership and growth — ideally with visible career progression or technical leadership in past roles.
Excellent communication skills and the ability to collaborate with product and customer-facing teams.
Preferred Qualifications
Experience with ML or data infrastructure, including serving or deploying machine learning models.
Familiarity with LLM-powered systems or AI applications.
Prior work at high-growth startups or companies with strong engineering cultures.
Experience in industries like fintech, automation, or enterprise data systems.
Compensation and Benefits
Base Salary:
$200K – $325K (depending on experience)
Bonus and Equity:
Competitive package including performance-based bonuses and stock options
Work Environment:
Onsite 5 days/week in the company’s Union Square office in San Francisco
Additional Benefits:
Comprehensive health coverage, generous PTO, and access to top-tier engineering tools and infrastructure
Why Join
Massive Impact:
Build core infrastructure used by top-tier professional service firms and financial institutions.
Startup Speed, Enterprise Stability:
Enjoy the agility of a lean, high-performing startup with the backing of a global enterprise.
Top-Tier Talent:
Work alongside exceptional engineers and product leaders who move fast and value quality craftsmanship.
Cutting-Edge Technology:
Be part of building production-grade AI systems that redefine what’s possible in data automation.
#J-18808-Ljbffr