Software Engineer III - GenAI, AWS, Java/Python

JPMorganChase•Jersey City, NJ

About The Position

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management division, you will be instrumental in promoting the progress and application of state-of-the-art AI technologies. Your role will focus on key development tasks, leveraging your technical expertise to enhance the design and implementation of pioneering key business features powered by Agentic/Gen AI frameworks. Job responsibilities Generative AI Development : Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives. Technical Expertise : Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies to enhance AI capabilities. Programming Proficiency : Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code. Front-End Development : Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality. Cloud Integration : Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects. Automation and Stability : Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems. Collaboration : Work closely with cross-functional teams to contribute to the evaluation and refinement of architectural designs for AI systems, ensuring scalability and robustness. Continuous Learning : Engage in communities of practice to stay updated on new generative AI technologies, fostering a culture of continuous innovation. Team Culture : Support a team culture of diversity, opportunity, inclusion, and respect, fostering an environment conducive to innovative AI development.

Requirements

Formal training or certification on software engineering concepts and 3+ years applied experience
Programming Proficiency: Minimum 3+ years of strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch.
Generative AI: one year of experience in generative AI development and prompt engineering.
System Design: Proven experience in system design, application development, testing, and operational stability in AI projects.
Front-End Development: Minimum of 3+ years of strong experience with React or Angular.
Cloud Expertise: 2+ years of AWS experience is a must-have.
Tool Proficiency: Experience with LLM models and agentic tools.
Agile Methodologies: Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.

Nice To Haves

Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
Familiarity with data engineering practices to support AI model training and deployment.
Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
Experience with AI/ML libraries and tools such as Langchain, PyTorch, Scikit-learn, and Keras.

Responsibilities

Generative AI Development : Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives.
Technical Expertise : Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies to enhance AI capabilities.
Programming Proficiency : Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
Front-End Development : Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
Cloud Integration : Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
Automation and Stability : Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
Collaboration : Work closely with cross-functional teams to contribute to the evaluation and refinement of architectural designs for AI systems, ensuring scalability and robustness.
Continuous Learning : Engage in communities of practice to stay updated on new generative AI technologies, fostering a culture of continuous innovation.
Team Culture : Support a team culture of diversity, opportunity, inclusion, and respect, fostering an environment conducive to innovative AI development.

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