Senior Backend Engineer

Upscale AI Inc

  • San Francisco, CA
  • 30+ days ago
  • Remote

    Highlights

    We've helped brands like Jones Road Beauty, Westmore Beauty, Branch Furniture, and Lalo scale video advertising that drives real business outcomes. Design and implement LLM-powered workflows, including prompt pipelines, multi-step agents, structured outputs, and retrieval-augmented generation.

    Numbers & Facts

    LocationSan Francisco, CA (
    Remote
    )

    Description

    Senior Backend Engineer

    Location: Remote (US only)

    Type: Full-Time

    Compensation: Competitive Salary for a Startup + Equity

    About the Role

    We're looking for a Senior Backend Engineer who ships fast, thinks in systems, and operates with deep ownership.

    This is a foundational engineering role at Upscale AI. You will have an outsized impact on a product used by fast-growing DTC brands to scale their video advertising.

    You won't wait to be told what to build. You'll understand the business context, identify what matters most, and execute. You'll work closely with leadership and the engineering team, and your code will reach production quickly.

    If you thrive in ambiguity, are energized by constraints, and want to build AI-native systems that solve real business problems in the adtech space, this role is for you.

    About Us

    Upscale AI is transforming how ecommerce and DTC brands use video and streaming TV to grow. Our platform combines:

    AI-Driven Creative Generation: turning brand assets into TV-quality ads automatically

    Performance Media Buying: buying streaming TV and YouTube like digital, with precision targeting

    Advanced Attribution: proving ROI across ecommerce and retail channels

    We've helped brands like Jones Road Beauty, Westmore Beauty, Branch Furniture, and Lalo scale video advertising that drives real business outcomes.

    Backed by M12, NVP Capital, and Eniac Ventures, we're scaling fast and hiring foundational team members to reach the next stage of growth.

    Key Responsibilities

    Own backend features end-to-end, from domain modeling and API design to deployment and production support

    Ship quickly while maintaining strong standards for reliability, observability, and maintainability

    Design and implement LLM-powered workflows, including prompt pipelines, multi-step agents, structured outputs, and retrieval-augmented generation

    Use AI coding tools such as Claude Code and Codex effectively. Break down problems, prompt well, review diffs carefully, and validate outputs with tests

    Focus execution on what drives business impact, and push back on low-value work

    Contribute to database design, async task systems, caching, and API architecture with clear trade-off reasoning

    Communicate proactively with teammates and leadership. Surface blockers early and keep context tight

    Take full ownership of what you ship. Monitor production, respond to issues quickly, and fix problems without being prompted

    Qualifications Required

    5+ years of backend engineering experience with strong Python expertise

    Production experience with FastAPI or similar async Python frameworks

    Strong PostgreSQL experience, including schema design, query performance, and migrations

    Strong GCP experience, including Cloud Run, Cloud Tasks, AlloyDB, and serverless or event-driven architectures

    Experience with Kubernetes or GKE in production environments

    Experience integrating LLM APIs, including prompt design, chaining, structured outputs, and cost and latency trade-offs

    Solid understanding of distributed systems, system design, and production reliability

    Ability to write observable, well-tested code

    Strong written and verbal communication. Clear, concise, and unambiguous in async environments

    Collaborative team player. Shares context proactively and works effectively across teams

    Strong analytical and debugging skills. Able to quickly identify root causes and get to the heart of complex problems

    Strongly Preferred

    Early-stage startup experience with broad ownership and minimal process

    Daily use of AI coding assistants, with strong judgment in decomposition, code review, and output validation

    Background in ad tech, ecommerce, social platforms, fintech, or other data-driven systems

    Familiarity with video pipelines, programmatic advertising, or attribution

    Mindset

    Strong bias for action. You ship, learn, and iterate quickly

    High ownership. You care about outcomes, not just completed tasks

    Good judgment. You make pragmatic trade-offs based on business context

    Comfortable with ambiguity and under-specified problems

    Proactive by default. You identify gaps and act without waiting for direction

    What We Offer

    Competitive salary and meaningful early-stage equity

    Fully remote, async-friendly team

    Direct access to leadership and real influence over product direction

    Fast feedback loop between what you build and real customer outcomes

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