We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Risk Technology organization, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

Develop and implement GenAI and Agentic AI solutions using Java and Python to enhance automation and decision-making processesDesign, deploy, and manage LLM-based solutions for various NLP tasks in the financial services domain, integrating with Java-based enterprise systemsConduct research on prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques to optimize model performanceBuild RESTful APIs and microservices using Java and Spring Boot to expose ML models and AI capabilities to downstream applicationsCollaborate with cross-functional teams including data scientists, engineers, and product owners to identify requirements and develop solutions to meet business needsBuild and maintain scalable data pipelines and ML workflows using Java-based frameworks and cloud servicesDevelop and maintain tools and frameworks for model training, evaluation, deployment, and monitoringImplement MLOps best practices including model versioning, A/B testing, and continuous model evaluationEnsure production-quality code with comprehensive unit testing using JUnit, Mockito, and integration testing frameworksCommunicate effectively with both technical and non-technical stakeholders, including senior leadership

Required Qualifications, Capabilities, and Skills

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 applicationsSolid 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 systemsExperience with CI/CD pipelines, unit testing (JUnit, Mockito, pytest), and version control (Git)Strong understanding of software engineering best practices and agile methodologiesStrong analytical and problem-solving skills with ability to work independently and collaborativelyExcellent written and verbal communication skills to convey technical concepts to diverse audiences

Preferred Qualifications, Capabilities, and Skills

Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma) and embedding modelsExperience 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)