Software Engineer III - Python, AI ML, Cloud

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 Asset & Wealth Management, 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

• Involves in building and operating highly sophisticated LLM driven applications.
• Partners directly with other technology teams on LLM projects to advise and assist as needed.
• Collaborates with Data Science, Cybersecurity to deliver state of the art ML products.
• Collaborates with Devops engineers to plan and deploy data storage and processing systems,
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Stays abreast of the latest advancements in AI technologies, and drive their integration into our operations.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Advanced python programming skills. Proven experience in building and operating scalable ML-driven products.
• Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) . Hands on experience in Azure and AWS.
• Proficiency with cloud technologies like Kubernetes, Airflow. Experience working in a highly regulated environment.
• Proven ability to iterate quickly. Proficient in all aspects of the Software Development Life Cycle.
• Terraform, IaaC experience. Experience with design & delivery of large scale cloud-native architectures.
• Experience with microservices performance tuning, performance optimization, real-time applications.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

• Experience with financial data and data science. Experience in developing AI solutions using agentic frameworks.
• Experience fine-tuning LLMs with advanced techniques to enhance performance.
• Experience with prompt optimisation to improve the effectiveness of AI applications.
• Demonstrated ability to design and implement robust AI application architectures.