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Niche LLM/agentic production skills and non-metro location reduce applicant density.
Production LLM and integration skills are transferable across industries, though payments/regulatory preference increases domain sensitivity.
Explicit 5–8 year mandate plus required LLM, Java/Python, orchestration, integration, and infra skills creates strict filters.
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Design and deploy production-grade AI workflows automating complex Payments operations including reconciliation, audit preparation, reporting, analytics, and exception handling.
Develop and integrate AI agents using Java/Spring AI or Python orchestration with enterprise systems through APIs, events, and data pipelines ensuring security and compliance.
Implement human-in-the-loop controls, versioning, observability, and quantifiable impact metrics like effort reduction and cycle-time improvement.
5-8 years of software engineering or integration experience with at least 2 years in LLM, Generative AI, or agentic application development.
Proficient in Java with Spring Boot/Spring AI and/or Python with FastAPI or equivalent frameworks.
Experience with Generative AI APIs (Claude/Anthropic, OpenAI, Gemini), workflow automation platforms (n8n, Temporal, Camunda, Airflow), and integration technologies (REST APIs, Kafka, RabbitMQ).
Work Experience Required: 5-8 years including 2 years in AI/ML agentic solutions; Notice period: Not explicitly mentioned in the JD.
Experienced in building controlled production AI solutions integrating multiple enterprise systems within Payments or financial domains.
Values engineering rigor involving testing, CI/CD, monitoring, and security for complex workflow automation.
Comfortable working cross-functionally with operations, compliance, risk, and audit teams to embed robust financial control mechanisms.