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Software Engineer III - GenAI, AWS, Java​/Python

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Testing Site - JPMC
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

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 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.
Required qualifications, capabilities, and skills
  • 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.
Preferred qualifications, capabilities, and skills
  • 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.
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