Pitchbook

AI Engineer - Backend

Pitchbook • $150K — $200K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional software engineering experience
  • Strong backend fundamentals in REST API architecture and distributed systems
  • Proficiency with JavaScript, React, and relevant web technologies
  • Experience with a backend language (Python preferred)
  • Familiarity with relational databases like Postgres/MySQL
  • Deep experience with 3rd-party API integration and data abstraction layers
  • Working knowledge of LLM pipelines and context windows.

Responsibilities

  • Craft end-to-end product experiences by designing, coding, and shipping features.
  • Design flexible, extensible JSON-based models for various applications.
  • Integrate core booking systems through robust connectors.
  • Build secure and scalable APIs to serve context to AI agents.
  • Engineer solutions that guarantee reliability and trust.
  • Develop innovative APIs and safety measures for deploying research.
  • Directly engage with users to iterate and enhance product experience.

Benefits

  • Lunch and snacks provided at the office.
  • Comprehensive medical, dental, and vision insurance coverage.
  • Relocation and immigration support available.
Full Job Description
Build the systems our agents run on. Make them feel like magic, not infrastructure.

Our agents are only as trustworthy as the backend behind them. Every API call, every retry, every queued job is the difference between an agent that feels alive and one that feels like a chatbot. You'll own the systems that turn research into product - model orchestration, agent state, partner integrations, the data plane - and you'll make them fast enough, observable enough, and boring enough that the rest of the team can ship without thinking about them.

This is for the backend engineer who has been the on-call hero before, who has strong opinions about queues and idempotency, and who wants to design infrastructure for a product where the floor is "millions of devices."

🤩 Tasks you will own
  • The agent backend end-to-end - model orchestration, tool-use plumbing, agent state, retries, observability
  • The data plane behind every agent action - Postgres schema, caching, queues, event streams - at OEM scale
  • Production SLAs, on-call, and the reliability bar for everything the agent touches in the cloud
🤚 Areas where you will assist
  • Research, by shipping their work to real users in days, not quarters - and feeding back what breaks in production
  • Forward-deployed engineers, by giving them backends partners can integrate against without a six-week meeting
  • iOS and Android, by drawing the right line between on-device and cloud so neither side carries the wrong weight
Skills you'll be expected to teach
  • How to design backends for LLM-powered systems where latency, cost, and non-determinism are first-class concerns
  • How to run a production system you'd happily put your name on - observability, incident response, capacity planning
Skills you'll be expected to learn
  • The internals of agentic systems from the people who published the canonical papers on them
  • What it takes to run agent infrastructure at OEM scale, across Samsung, OPPO, Lenovo, and Vertu devices
  • On-device / cloud co-design - when to push compute to the phone and when to keep it on our side
Timeline of success

After 30 days - You've shipped a meaningful change to the agent backend that a user would feel - latency, reliability, or a new capability. You can name the three weakest links in our infra and have started fixing one. You've taken a real on-call shift.

After 60 days - You own a major surface of the backend. A research breakthrough has shipped through systems you designed. Other engineers route their hardest backend questions to you. You've set the reliability and observability bar that new services have to meet.

After 90 days - Our agent backend is something you'd happily defend to an infra engineer at a top-tier consumer company. You've shaped the architecture for one of our partner launches and have a strong, opinionated plan for what our infra needs to look like to support 10M devices.

Compensation

Competitive cash and meaningful equity. Top-tier relocation and immigration support. SF, in person.

How to apply

Send a link to a backend system you've built or operated, with one paragraph on a production decision you'd defend on a whiteboard. Plus your resume, GitHub, or LinkedIn. Every exceptional candidate hears back within 48 hours.

About Pitchbook

PitchBook is a financial data and software company that provides research, analysis, and data on private equity, venture capital, and M&A transactions. The company's platform offers a range of tools and services, including market research, deal sourcing, due diligence, and portfolio management. PitchBook serves a variety of clients, including investment banks, private equity firms, venture capital firms, and corporate development teams. The company was founded in 2007 and is headquartered in Seattle, Washington.
Learn more about Pitchbook
Size
1,000 employees
Industry
Founded
2007

Similar Jobs

More Jobs at Pitchbook

  • Pitchbook
    AI Engineer - Backend
    $150K — $200K *
    San Francisco, CA 94112 (San Francisco County)
    Information Technology
    In-Person
  • Pitchbook
    ML Platform & Infrastructure Engineer
    $120K — $160K *
    San Francisco, CA 94112 (San Francisco County)
    Information Technology
    In-Person
  • Pitchbook
    AI Product Engineer
    $120K — $180K *
    San Francisco, CA 94112 (San Francisco County)
    Consumer Technology
    In-Person
  • Pitchbook
    iOS Engineer
    $130K — $180K *
    San Francisco, CA 94112 (San Francisco County)
    Consumer Technology
    In-Person
  • Pitchbook
    Research Engineer - Evals
    $120K — $160K *
    San Francisco, CA 94112 (San Francisco County)
    Information Technology
    In-Person

More Information Technology Jobs

Find similar AI Engineer - Backend jobs: