Chase ยท 1 day ago
Software Engineer III - AI/ML
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Software Engineer III within the Risk Technology organization, you will design and deliver technology products, focusing on AI and machine learning solutions to support the firm's objectives.
BankingFinancial Services
Responsibilities
Develop and implement GenAI and Agentic AI solutions using Java and Python to enhance automation and decision-making processes
Design, deploy, and manage LLM-based solutions for various NLP tasks in the financial services domain, integrating with Java-based enterprise systems
Conduct research on prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques to optimize model performance
Build RESTful APIs and microservices using Java and Spring Boot to expose ML models and AI capabilities to downstream applications
Collaborate with cross-functional teams including data scientists, engineers, and product owners to identify requirements and develop solutions to meet business needs
Build and maintain scalable data pipelines and ML workflows using Java-based frameworks and cloud services
Develop and maintain tools and frameworks for model training, evaluation, deployment, and monitoring
Implement MLOps best practices including model versioning, A/B testing, and continuous model evaluation
Ensure production-quality code with comprehensive unit testing using JUnit, Mockito, and integration testing frameworks
Communicate effectively with both technical and non-technical stakeholders, including senior leadership
Qualification
Required
Formal training or certification on software engineering concepts and 3+ years of applied experience
Strong proficiency in Java (Java 11+) and Spring Boot for building enterprise-grade applications
Solid Python programming skills for ML/AI development and data processing, 3+ years of AI/ML experience
Experience with RESTful API development, micro services architecture, and containerization (Docker, Kubernetes)
Hands-on experience with LLMs, prompt engineering, and at least one LLM orchestration framework (LangChain, LlamaIndex, or similar)
Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn) and integrating ML models into production systems
Experience with CI/CD pipelines, unit testing (JUnit, Mockito, pytest), and version control (Git)
Strong understanding of software engineering best practices and agile methodologies
Strong analytical and problem-solving skills with ability to work independently and collaboratively
Excellent written and verbal communication skills to convey technical concepts to diverse audiences
Preferred
Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma) and embedding models
Experience with Java-based data processing frameworks (Apache Spark, Apache Kafka, Apache Flink)
Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI/ML services (SageMaker, Azure ML, Vertex AI)
Knowledge of observability and monitoring tools for production ML systems (Prometheus, Grafana, DataDog)
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Funding
Current Stage
Late StageLeadership Team
Recent News
2026-01-13
2026-01-11
Financial IT
2026-01-09
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