Back
Niche LLM/agent skills reduce applicants, but mid-experience and metro location increase competition.
Payments and regulated-workflow preferences raise domain bias, though core ML/integration skills remain transferable.
Explicit 5–8 years plus many mandatory AI, integration, and production requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy AI automation workflows for complex payments operations including reconciliation, audit preparation, reporting, analytics, exception and incident handling.
Integrate and orchestrate AI agentic solutions using Java/Spring AI or Python frameworks with model APIs (Claude/Anthropic, OpenAI, Gemini) and utilize workflow automation platforms (n8n, Temporal, Camunda, Airflow, LangGraph).
Implement enterprise-grade production workflows that are secure, observable, versioned, auditable, human-in-the-loop controlled, with reusable components and measurable impact on operational efficiency and controls.
5-8 years in software engineering, backend development (Java), integration engineering, or automation.
At least 2 years’ experience building LLM, Generative AI, machine learning, or agentic applications beyond POC into production.
Proficiency with Java (Spring Boot/Spring AI) and/or Python (FastAPI or equivalent).
Experience integrating enterprise systems via REST APIs, event-driven messaging (Kafka, RabbitMQ), and workflow orchestration tools (n8n, Temporal, Camunda, Airflow).
Strong background in backend development combined with hands-on expertise in orchestrating AI/LLM agentic workflows in production environments.
Experienced integrating complex enterprise systems in payment or financial domains, with knowledge of exception handling and operational control workflows.
Skilled in advanced AI tooling, prompt design, and engineering standards to deliver scalable, secure, and compliant automation solutions impacting payment operations.