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.
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.
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.