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 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

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 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 Qualifications, Capabilities, and Skills

• 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)