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Software Engineer III - AI/ML Platform Engineer

JPMorgan Chase
Jersey City, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago

Full Job Posting

  • Build and enhance platform capabilities for model registries, feature registries, promotion policies, and governance tooling
  • Design and deliver services for data preparation, annotation workflows, lineage, and auditability
  • Develop cloud-native microservices and application programming interfaces to support scalable model delivery and operations
  • Create large language model-powered capabilities (prompt design, agent workflows, retrieval) to deliver grounded, reliable outcomes
  • Produce architecture and design artifacts and ensure implementations meet performance, resiliency, and security constraints
  • Use company-approved AI-assisted development tools to improve quality and speed, validating outputs via reviews, testing, and secure coding practices
  • Analyze telemetry and user feedback; build reporting and metrics to drive continuous improvement
  • Identify hidden issues and patterns in systems and data; improve code health, observability, and platform architecture
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Experience with modern architecture patterns (such as microservices, reactive architectures, event-driven architectures)
  • Experience developing and deploying large language model-powered solutions using prompt design, agent workflows, tool integration, and retrieval-augmented generation
  • Programming experience in at least two modern languages or frameworks (such as Python, Java, JavaScript, React, Node.js)
  • Experience building and consuming RESTful application programming interfaces and tuning performance in large-scale applications
  • Experience with cloud platforms and containerization or orchestration (such as Docker and Kubernetes)
  • Experience with relational and non-relational databases (such as PostgreSQL, MongoDB, Redis, Elasticsearch, Cassandra)
  • Experience with engineering practices including refactoring, design patterns, test-driven development, continuous integration and delivery, and application security
  • Hands-on experience using company-approved AI-assisted software development tools, with the ability to validate and refine outputs for correctness, performance, and security
  • Experience with HTML and CSS and at least one modern JavaScript framework (such as React, Vue, or Angular)
  • Experience or knowledge of model governance and data governance
  • Experience building internal platforms or developer experience tooling that supports machine learning delivery and operations

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