Lead Software Engineer Python and AI

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Asset and Wealth Management youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Full Stack Development: Design develop and maintain scalable high-quality full-stack applications with a predominant focus on for the frontend and Python for backend services and APIs.
• Cloud Engineering: Architect and implement cloud-native solutions on AWS leveraging services such as Lambda API Gateway S3 EC2 ECS and more.
• AI / LLM Solutions: Actively contribute to the design and development of AI and LLM-based solutions including integration with LLM APIs RAG pipelines prompt engineering and intelligent automation workflows.
• Technical Design & Architecture: Participate in and lead technical design discussions architecture reviews and engineering decisions that shape the direction of the product.
• Cross-functional Collaboration: Work closely with product managers UX designers data scientists and business stakeholders to translate requirements into robust technical solutions.
• Continuous Improvement: Champion best practices in CI/CD DevOps testing and software delivery to continuously improve team velocity and product quality.
• Mentorship & Culture: Contribute to a strong engineering culture by mentoring peers sharing knowledge and supporting the growth of the broader team.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience

• Strong hands-on proficiency in and modern frontend development (hooks state management component architecture)
• Strong hands-on proficiency in Python for backend development REST APIs and data processing
• Demonstrated AWS experience with cloud-native architecture and services (Lambda S3 EC2 API Gateway RDS etc.)
• Experience or strong interest in AI/ML and LLM technologies (e.g. OpenAI APIs LangChain RAG vector search prompt engineering)
• Experience building and consuming RESTful APIs and working within microservices architectures
• Proficiency with CI/CD pipelines version control (Git) and DevOps practices
• Ability to work independently as a senior individual contributor with minimal supervision
• Strong analytical and problem-solving skills with excellent communication abilities