# Staff AI Engineer, Payments Intelligence

**Company**: Yuno
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/yuno/73111f9b-95c9-46f6-a1eb-0e8f2c0196c9?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bcfcc532-130

## Description

Yuno is seeking a Staff AI Engineer to lead the development of AI agents and intelligence products for payments. The successful candidate will architect and build production AI-agent systems, shape the application of LLMs and agentic AI, and raise the technical bar for the engineers around them.

Responsibilities:

- Architect and build production AI-agent systems like AIDA and NOVA

- Design agents that hold real conversations with customers, recover revenue, automate operations, and surface intelligence to merchants

- Define how the unit measures agent quality and safety, with rigorous evaluation, observability, and guardrails

- Build the AI-driven automation that streamlines internal operations and support

- Mentor engineers and partner with Product, Data Science, and Staff Engineers across domains

Requirements:

- Extensive software engineering experience, with a track record building and shipping production LLM or AI-agent systems

- Deep expertise in agentic systems, multi-step agents, tool use, orchestration, memory, and retrieval-augmented generation (RAG)

- Strong LLM application skills, prompt engineering, evaluation, and guardrails for reliable, safe outputs

- Strong Python for AI/ML, plus solid backend engineering (Go and/or Kotlin) to productionize systems at scale

- Model serving and LLM inference, with the cloud infrastructure to run AI workloads in production (AWS or similar)

- Evaluation and observability for AI, hands-on with tools like LangFuse, LangSmith, Braintrust, or MLflow

- Proven technical leadership, mentoring engineers, driving technical vision, and delivering complex, cross-team projects

Nice to Have:

- Fine-tuning, RLHF, or model customization

- Vector databases (Pinecone, Weaviate, or FAISS) and embedding retrieval

- Building agent workflows with MCP servers or modern agent frameworks

- Conversational AI and speech (speech-to-text / text-to-speech) and multilingual systems

- Experience in the payments or fintech industry

## Skills

### Required
- agentic systems
- LLM application
- Python
- backend engineering
- model serving
- evaluation and observability
- technical leadership

### Nice to have
- fine-tuning
- vector databases
- agent workflows
- conversational AI
- multilingual systems
- payments or fintech experience

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/yuno/73111f9b-95c9-46f6-a1eb-0e8f2c0196c9?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)