Synced from Ashby · Aug 12

AI Engineer

Pear VCMountain View, CAPosted Aug 12, 2026
AI EngineerRemoteMid
Apply now - freeSave & get alerts

Mirrored from Pear VC's own Ashby careers system · refreshed hourly

99
Other open Pear VC roles
Aug 12
Posted
Ashby
Applicant system
Job description

About Socratix AI

 

Socratix AI builds AI coworkers for fraud, financial crime, and compliance teams. Our agents investigate every transaction and user around the clock — gathering evidence across core banking activity, check images, device intelligence, and screening hits so every case opens with the full picture, not a dozen tabs.

 

As one of our first engineers, you'll shape the technical foundation of Socratix AI (YC S25). We build AI agents that investigate fraud and financial crime for banks, credit unions, and leading fintechs — agents that reason through real cases, gather evidence across systems, and produce decisions that stand up to regulators.

 

You'll design and ship production AI agents that fraud and compliance teams rely on every day, collaborate directly with founders on product strategy, and partner with both large enterprises and cutting-edge fintechs.

 

This is a high-impact role with massive scope for growth — you won't just be building features, you'll be defining how agentic AI transforms financial crime operations.

 

Our Culture: F.O.R.C.E.

We believe the right culture builds unstoppable teams. At Socratix, our values spell F.O.R.C.E. — the driving force behind everything we do:

  • First Principles – We start from truth, not tradition, and solve problems in original ways.

  • Ownership – What you work on is yours to elevate; we take accountability and act with confidence.

  • Relentlessness – We finish what we start, turning obstacles into breakthroughs.

  • Customer First – Every decision is measured by one standard: does this make our customers’ lives easier?

  • Empathy – We respect differing perspectives, design for human needs, and build trust that lasts.

 

What You’ll Do

  • Build agents end to end: LLM orchestration, tool use across a growing set of MCP integrations, retrieval, and multi-agent workflows that automate real investigations.

  • Own the layer that makes agents trustworthy — eval harnesses, guardrails, audit trails, human-in-the-loop review. When your agent decides, a bank acts on it.

  • Ship fast and close to users: code in prod your first week, direct customer contact, your work catching actual fraud. Design and deliver production-grade AI agents.

  • Experiment relentlessly. New models, new techniques, new tooling — you'll have license to try everything and keep what wins.

  • Turn frontier into product. You'll spend real time probing what the newest models can do, then ship the parts that survive contact with real fraud cases

  • Shape roadmap and strategy with the founders. Small team, zero bureaucracy, maximum ownership.

 

What We’re Looking For

  • A systems thinker. You reason about the whole machine — data flow, failure modes, latency, cost, what breaks at 10x — not just the function you're writing. Agents are distributed systems with a nondeterministic component in the middle; if that framing excites you, keep reading.

  • You've shipped real things with LLMs — production systems, prototypes with users, obsessive side projects.

  • Deep engineering fundamentals. Frameworks are details you pick up in a weekend (we're mostly Python on AWS). What matters is that you can design, ship, debug, and operate a production system end to end.

  • 0 → 1 builder. Ambiguity and speed energize you instead of stressing you out.

  • Roughly 2–4 years of engineering experience — or a portfolio that makes that line irrelevant.

  • Prior experience in startups is a plus

  • Curiosity about fintech, fraud, or building AI where the stakes are real and regulated.

 

Benefits

We believe in generous, top-tier compensation and benefits:

  • Competitive salary and equity benchmarked to top tech companies.

  • Paid meals during workdays.

  • 100% health, dental, and vision coverage.

  • Hybrid schedule - in-office 3 days a week.

  • Commuter Benefits

  • Unlimited PTO.

View original posting on Ashby

What applying to Pear VC usually looks like

Based on publicly available information, candidates applying through Ashby for roles at Pear VC can typically expect a structured online application, often followed by an initial screening conversation with a recruiter or talent team member. The process may include multiple stages, such as functional or role-specific interviews, take-home assessments, or case studies depending on the position, and possibly a conversation with hiring managers or team members who would be close collaborators. Ashby-based processes commonly allow candidates to track application status through an online portal and may include automated updates at various stages. Response times vary and can depend on role seniority and hiring volume. Candidates should generally prepare to discuss relevant experience, technical or domain skills, and motivation for the role, while understanding that exact steps and pacing can differ by team and position.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Free to start · No credit card · Cancel anytime

Keep exploring

What this role pays, where else it is open, and how to write the application.

AI Engineer
Pear VC · Mountain View, CA
Apply