AI Engineering Intern

Socratix AI; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Socratix AI is hiring to build production-grade AI agents for fraud, financial crime, and compliance teams in San Francisco. You will design and ship agents end to end, integrating a growing MCP stack, and delivering workflows that automate investigations.

You will work closely with founders on product strategy, exploring new models and tooling, and turning frontier research into scalable, real-world solutions that help banks and fintechs fight fraud.

Qualifications

• Ability to reason about data flow, latency, and failure modes.
• Shipped production-grade AI/LLM-based systems with users.
• Strong fundamentals in software engineering.

Responsibilities

• Build end-to-end AI agents: orchestration, tool use, retrieval, multi-agent workflows.
• Own guardrails, audit trails, and human-in-the-loop review for trustworthiness.
• Ship production features quickly with direct user feedback.
• Experiment with new models and tooling to find winners.
• Shape product roadmap in collaboration with founders.

Skills

Systems thinking

LLM integration

Python

AWS

Production systems

Tools

LLM tooling

Job description

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.

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.
• Prior experience in startups is a plus
• Curiosity about fintech, fraud, or building AI where the stakes are real and regulated.