Job Description

Architect & ship AI agent services

- Design Python/TypeScript microservices that orchestrate LLMs (OpenAI, Claude, open-source), vector databases, and payment APIs.

Automate merchant-specific tuning

- Build pipelines that ingest merchant data (e.g. reviews, support transcripts, transaction logs) to fine-tune or RAG-augment models automatically.

Create self-serve tooling for Ops

- Develop chat-based or low-code UIs that let our ops team "teach" and monitor agents -- no code required.

Own the AI / ML lifecycle

- Handle model versioning, evaluation (online/offline), monitoring, rollback, and performance/cost optimization.

Move from zero one scale

- Stand up lightweight infrastructure today; scale it to serve thousands of merchants tomorrow.

Set the bar for engineering excellence

- Establish high standards for code quality, system design, and team culture. Mentor early team members.

Requirements

Proven 10x builder with 5-10+ years of experience shipping production systems -- and a continued love for hands-on coding. LLM experience in production, including building or fine-tuning models with OpenAI, Claude, Llama 3, or similar, and shipping at least one LLM-powered feature. Strong data intuition, with experience designing labeling strategies, feedback loops, and evaluation harnesses to maintain model quality. Service-oriented engineering mindset, writing clean, tested Python (or similar) and building APIs that other engineers enjoy using. Bias toward automation, with a focus on building agents and workflow tools that eliminate repetitive tasks. Excellent collaboration and communication skills to work effectively with cross-functional teams. * Experience in payments, risk, or blockchain; infra-as-code tools like Terraform or Pulumi; GPU cost optimization; or TypeScript/React for internal tools is a bonus.