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
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.lever.co/yuno/73111f9b-95c9-46f6-a1eb-0e8f2c0196c9