
Founding Ai Applications Engineer
7 days ago
**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 10× 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.
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