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Founding AI/ML Engineer – Authorization

Key Talent Solutions • United States
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Design and build ML models for AI agent payment authorization and risk scoring in a fintech startup. Own model development, anomaly detection, and production deployment across the payment authorization flow. Requires strong ML/AI engineering experience with LLMs, SLMs, Python, and production model deployment.

Key Highlights
Founding AI/ML Engineer role at an early-stage fintech startup building payment infrastructure for AI agents
Design and deploy ML models for authorization, risk scoring, and anomaly detection in payment flows
Competitive salary of $140K–$300K plus equity with founding-level ownership
Key Responsibilities
Design and build data pipelines and modelling architecture for core ML models
Translate natural-language user approvals into structured authorisation rules
Develop models to detect suspicious behaviour and deviations from user intent
Build risk-scoring systems combining agent identity, user history, device info and merchant signals
Build evaluation frameworks, data labelling processes and performance metrics
Deploy production-ready models into payment authorisation flow
Technical Skills Required
Machine Learning Python LLM/NLP
Benefits & Perks
Competitive equity package
Founding-level ownership and technical influence
Small founding team with high-impact environment
Nice to Have
Fintech or payments background
Fraud detection and transaction authorisation experience
AI agent security and LLM evaluation experience
Real-time risk modelling experience

Job Description

About the company

We are partnering with an ambitious, early-stage fintech startup building the financial infrastructure for the agentic web. As AI agents increasingly interact with businesses, make purchasing decisions and execute transactions on behalf of users, there is a growing need for secure and reliable payment infrastructure.

We are looking for a Founding AI/ML Engineer specialising in Authorization to take ownership of the intelligence behind how AI agents make purchases.

Imagine a user telling an AI agent:

You'll design and build the models that determine whether an agent's actions are authorised, how risky they are, and when additional user approval is required.

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