As an Early Engineer at Socratix AI, you will build and scale AI agent infrastructure that replaces hours of manual fraud investigation for banks and fintechs. Working directly with founders, you’ll own backend APIs, cloud deployments, and multi-step agentic workflows using Python and LangChain. You will ship to production weekly and define the company’s core engineering culture.
Early Engineer at Socratix AI
As an Early Engineer in this elite San Francisco-based team backed by Pear VC, you will own backend infrastructure and multi-step agentic workflows, shipping production-grade systems using Python, FastAPI, and LangChain to customers weekly while shaping the core architectural decisions and defining the engineering culture of this high-impact venture.
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Location
San Francisco, United States
Compensation
Not Disclosed + Equity
Company
Socratix AI
Role overview
Socratix AI is a software company that builds enterprise-grade, autonomous AI coworkers for fraud, financial crime, and compliance teams at banks, fintechs, and other financial institutions.[2][5][11][14][15][26] Its platform provides AI-powered agents that act like human fraud analysts, operating 24/7 to investigate alerts in real time, gather evidence, identify threats, and recommend actions across fraud, compliance, and verification workflows.[1][3][9][10][11][15] These agents plug into existing workflows and unify fragmented data from multiple systems, then reason across signals to produce fast, explainable, and auditable decisions that help reduce fraud losses, minimize false positives, and scale operations without increasing headcount.[1][3][5][9][11][14][15][26] By automating manual investigatory work such as data gathering, relationship mapping, anomaly detection, and initial case narrative construction, Socratix AI enables fraud and risk teams to move significantly faster and handle growing alert volumes more efficiently in the era of AI-powered fraud.[3][5][9][10][11][14][15][26]
What you will do
- Design and implement robust backend APIs and scalable AI agent infrastructure using Python, FastAPI, and AWS to support real-time investigation workflows.
- Develop and optimize multi-step AI agents and RAG systems that reason across complex data signals to provide auditable risk recommendations for customers.
- Collaborate daily with the founders to translate customer needs into technical requirements, shipping new features and product improvements to production on a weekly basis.
Who this is a fit for
- Demonstrates strong backend engineering skills with experience building and maintaining production-grade systems, ideally within a high-growth startup environment or as a former founder.
- Possesses a deep understanding of or a strong desire to master AI tooling, including LLMs, LangChain, and agentic frameworks, to build sophisticated automation tools.
- Thrives in a fast-paced, builder-centric culture where you are comfortable taking end-to-end ownership of product features from initial concept through to cloud deployment.
Why this role is remarkable
- Join a high-pedigree YC S25 team backed by a $4.1M seed round led by Pear VC, featuring founders with deep expertise from DoorDash, Cruise, and Unit21.
- Work at the cutting edge of AI agent technology, building production-grade systems that utilize RAG and multi-step reasoning to solve high-stakes problems in financial services.
- Enjoy high autonomy and ownership as an early hire, directly influencing architectural decisions and the product roadmap while receiving meaningful equity in a fast-growing startup.
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If your profile’s a match and Socratix AI wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.