Software Engineer III - Data - Agentic Commerce
JPMorgan Chase14 hours ago
London, United KingdomSenior
Responsibilities
- Design, develop, deliver, and troubleshoot agent components including orchestration logic, agent tools, and task queues for autonomous workflows.
- Build and maintain MCP servers providing secure agent access to CRM, supplier directory, and payments data.
- Develop, review, and debug secure, high-quality production code, primarily in Python.
- Build Databricks data pipelines and feature-engineering jobs for payments data used in model training and agent retrieval.
- Contribute to MLOps workflows including training jobs, automated tests, and promotion of model artifacts from development through UAT to production.
- Create agent behavior evaluations, offline test sets, CI/CD regression suites, and LLM-as-judge checks.
- Instrument services with OpenTelemetry tracing and improve operational stability through issue automation and remediation.
- Validate enterprise-authorized AI-assisted development outputs for correctness, performance, and security.
- Contribute to a diverse, inclusive, collaborative, and respectful team culture.
Requirements
- Formal training or certification in software engineering concepts with applied experience.
- Practical experience in system design, application development, testing, and operational stability.
- Proficiency in Python and at least one additional language such as Java, TypeScript, or SQL.
- Experience building and consuming APIs and event-driven services in a cloud environment.
- Experience with data-processing frameworks such as Apache Spark and large structured datasets.
- Working knowledge of LLM application development, including prompting, tool calling, retrieval, and evaluation.
- Experience using approved AI-assisted software development tools and validating their outputs.
- Understanding of responsible AI engineering practices, data sensitivity, and secure handling of inputs and outputs.
- Understanding of CI/CD, application resiliency, security, and agile development practices.
- Practical cloud-native experience, preferably AWS, including containers and Kubernetes.
- Preferred experience with Google ADK, LangGraph, MCP, A2A, AG-UI, Databricks, MLflow, Delta Lake, Apache Iceberg, Kubernetes model serving, model monitoring, Salesforce APIs, payments or commercial card processes, supplier onboarding or KYC, and Terraform.
Benefits
- Collaborative environment with opportunities for career growth, continuous learning, and work on AI, machine learning, payments, and agentic commerce technologies.
- JPMorganChase is an equal opportunity employer and provides reasonable accommodations for religious practices, mental health, and physical or disability-related needs.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.