Member of Technical Staff, AI Agents

Socratix AI Inc.; San Francisco (CA); Hybride; USD 180 000 - 260 000; Plein temps

Avantages offerts par ce poste

Equity

Health coverage (medical, dental, and视

Hybrid schedule – in-office 3 days a‑/

Résumé du poste

Socratix AI Inc. is seeking an early-stage software engineer to design and ship production AI agents that assist fraud and compliance teams.

You will work closely with founders on product strategy, partnering with banks, fintechs, and enterprises to deploy reliable agents that reason about real cases and gather evidence across systems. You’ll help build end-to-end AI agents, establish guardrails and audit trails, and push fast from prototype to production, always focused on solving high-stakes

Qualifications

• 2–4 years of engineering experience or a portfolio showing relevant work.
• Shipped production systems with LLMs or AI agents.
• Strong fundamentals in Python and cloud tooling (AWS) and distributed systems.

Responsabilités

• Build agents end to end: LLM orchestration and multi-agent workflows.
• Own the layer for trust: eval harnesses, guardrails, and audit trails.
• Ship features rapidly with customer contact and real-world fraud contexts.
• Experiment with new models and tooling while keeping what works.
• Turn frontier research into reusable product components.
• Shape roadmap and strategy with founders in a small, fast team.

Connaissances

LLM orchestration

Python

AWS

Distributed systems

Production systems

Guardrails/audit trails

End-to-end engineering

Outils

MCP integrations

Retrieval systems

LLM tooling

Description du poste

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.

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

• Competitive salary and equity benchmarked to top tech companies.
• 100% health, dental, and vision coverage.
• Hybrid schedule - in-office 3 days a week.