Staff AI Engineer, Payments Intelligence
New
J
JobgetherFintech Payments
Based in GermanyFull-TimeStaff
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- AWSPythonKotlinMachine LearningGoCI/CDLLM
Requirements
- Extensive software engineering experience with a track record of building and shipping production LLM or AI-agent systems.
- Deep expertise in agentic AI systems, including multi-step agents, tool use, orchestration, memory, and RAG.
- Strong LLM application development skills, including prompt engineering, evaluation, testing, and safety guardrails.
- Advanced Python skills for AI/ML development.
- Strong backend engineering capabilities in Go and/or Kotlin.
- Experience with model serving, LLM inference, and cloud infrastructure (e.g., AWS).
- Hands-on experience with AI evaluation and observability platforms like LangFuse, LangSmith, Braintrust, or MLflow.
- Strong knowledge of automated testing and CI/CD practices.
- Proven technical leadership experience, including mentoring engineers and defining technical vision.
- Advanced written and spoken English proficiency.
Responsibilities
- Lead the architecture and technical direction of AI agents and Payments Intelligence systems, including multi-step agents, tool use, orchestration, memory, and retrieval-augmented generation (RAG).
- Design, develop, and productionize LLM and agentic AI systems engineered for reliability, scalability, low latency, and high-quality outcomes.
- Build intelligent conversational experiences capable of engaging customers dynamically across channels, including multilingual interactions.
- Develop AI solutions that retrieve payment information, recover revenue, automate internal operations, and generate merchant insights.
- Establish rigorous approaches to AI evaluation, observability, safety, and guardrails for compliance-sensitive environments.
- Architect data and intelligence products that transform payment data into actionable insights.
- Collaborate with Product, Data Science, and senior engineering stakeholders to deliver complex, cross-functional AI initiatives.
- Mentor engineers, promote engineering standards, and raise the technical bar for AI development.
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