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Software Engineer III - Full Stack Generative AI/LLM

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - Full Stack Generative AI/LLM

full-timePosted: Dec 10, 2025

Job Description

Software Engineer III - Full Stack Generative AI/LLM

Location: Plano, TX, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through innovative technology. As a Software Engineer III - Full Stack Generative AI/LLM in our Plano, TX office, you will join a dynamic agile team dedicated to designing and delivering market-leading products that leverage cutting-edge AI to drive business value. In this role, you will architect full-stack solutions that integrate Generative AI and Large Language Models (LLMs) into core banking, investment, and risk management platforms, ensuring they are secure, scalable, and compliant with stringent financial regulations. Your work will directly impact how millions of clients experience personalized financial services, from AI-powered chatbots for customer support to advanced predictive analytics for fraud detection. You will collaborate closely with data scientists, product owners, and compliance experts to prototype, develop, and deploy AI-enhanced features that address real-world challenges in the financial sector. Responsibilities include building robust APIs, optimizing LLM performance for low-latency trading environments, and implementing safeguards against biases and data leaks in sensitive financial data processing. At JP Morgan Chase, we prioritize innovation within a framework of trust and security, so you will adhere to best practices like secure coding, regular audits, and ethical AI guidelines to protect client assets and maintain our reputation as a global leader in finance. This position offers the opportunity to grow your expertise in one of the most exciting areas of technology while contributing to JP Morgan Chase's mission of enabling the world's most important financial institutions to achieve their goals. With access to state-of-the-art tools, ongoing training in AI advancements, and a supportive culture that values work-life balance, you will thrive in an environment that fosters creativity and professional development. Join us in Plano, TX, and help shape the future of finance through Generative AI.

Key Responsibilities

  • Design, develop, and deploy full-stack applications leveraging Generative AI and LLMs to enhance financial products and services
  • Collaborate with agile teams to deliver secure, scalable technology solutions that meet regulatory standards in the financial industry
  • Integrate AI models into existing JP Morgan Chase platforms, ensuring compliance with data privacy laws like GDPR and SOX
  • Conduct code reviews, testing, and optimization to maintain high performance and reliability in production environments
  • Work with data scientists and product managers to prototype and iterate on AI-driven features for client-facing applications
  • Troubleshoot and resolve complex technical issues in real-time trading or banking systems enhanced by generative AI
  • Contribute to the innovation of AI tools that improve risk assessment, fraud detection, and personalized financial advice
  • Mentor junior engineers on best practices for AI development within the constraints of financial security protocols
  • Stay updated on emerging AI technologies and assess their applicability to JP Morgan Chase's business challenges

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience
  • At least 5 years of professional software engineering experience, with a focus on full-stack development
  • Proven experience in designing and implementing Generative AI and Large Language Model (LLM) solutions
  • Strong understanding of secure software development practices in a regulated financial environment
  • Experience working in agile methodologies and collaborating with cross-functional teams
  • Ability to obtain necessary security clearances or certifications for handling sensitive financial data

Preferred Qualifications

  • Master's degree in Computer Science, AI, or related field
  • Experience with financial services technologies, such as payment systems or risk management platforms
  • Familiarity with JP Morgan Chase's tech stack, including cloud platforms like AWS or Azure
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning) or secure coding practices

Required Skills

  • Proficiency in full-stack development with languages like Java, Python, or JavaScript/TypeScript
  • Expertise in Generative AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
  • Experience with LLMs like GPT models, fine-tuning, and prompt engineering
  • Knowledge of cloud computing platforms (AWS, Azure, or Google Cloud) for scalable AI deployments
  • Strong skills in database management (SQL/NoSQL) and API development (REST/GraphQL)
  • Understanding of cybersecurity principles, including encryption and secure coding in financial systems
  • Agile methodologies (Scrum/Kanban) and tools like Jira or Confluence
  • Problem-solving and analytical thinking for complex AI integration challenges
  • Excellent communication skills for collaborating with stakeholders in a fast-paced financial environment
  • Version control with Git and CI/CD pipelines (Jenkins, GitHub Actions)
  • Familiarity with containerization (Docker) and orchestration (Kubernetes)
  • Data handling skills for processing large datasets in compliance with financial regulations
  • Adaptability to evolving AI technologies and regulatory landscapes
  • Team collaboration and leadership in cross-functional projects

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with company matching contributions
  • Generous paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements, including hybrid options in Plano, TX

JP Morgan Chase is an equal opportunity employer.

Locations

  • Plano, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 320,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in full-stack development with languages like Java, Python, or JavaScript/TypeScriptintermediate
  • Expertise in Generative AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformersintermediate
  • Experience with LLMs like GPT models, fine-tuning, and prompt engineeringintermediate
  • Knowledge of cloud computing platforms (AWS, Azure, or Google Cloud) for scalable AI deploymentsintermediate
  • Strong skills in database management (SQL/NoSQL) and API development (REST/GraphQL)intermediate
  • Understanding of cybersecurity principles, including encryption and secure coding in financial systemsintermediate
  • Agile methodologies (Scrum/Kanban) and tools like Jira or Confluenceintermediate
  • Problem-solving and analytical thinking for complex AI integration challengesintermediate
  • Excellent communication skills for collaborating with stakeholders in a fast-paced financial environmentintermediate
  • Version control with Git and CI/CD pipelines (Jenkins, GitHub Actions)intermediate
  • Familiarity with containerization (Docker) and orchestration (Kubernetes)intermediate
  • Data handling skills for processing large datasets in compliance with financial regulationsintermediate
  • Adaptability to evolving AI technologies and regulatory landscapesintermediate
  • Team collaboration and leadership in cross-functional projectsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience (experience)
  • At least 5 years of professional software engineering experience, with a focus on full-stack development (experience)
  • Proven experience in designing and implementing Generative AI and Large Language Model (LLM) solutions (experience)
  • Strong understanding of secure software development practices in a regulated financial environment (experience)
  • Experience working in agile methodologies and collaborating with cross-functional teams (experience)
  • Ability to obtain necessary security clearances or certifications for handling sensitive financial data (experience)

Preferred Qualifications

  • Master's degree in Computer Science, AI, or related field (experience)
  • Experience with financial services technologies, such as payment systems or risk management platforms (experience)
  • Familiarity with JP Morgan Chase's tech stack, including cloud platforms like AWS or Azure (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning) or secure coding practices (experience)

Responsibilities

  • Design, develop, and deploy full-stack applications leveraging Generative AI and LLMs to enhance financial products and services
  • Collaborate with agile teams to deliver secure, scalable technology solutions that meet regulatory standards in the financial industry
  • Integrate AI models into existing JP Morgan Chase platforms, ensuring compliance with data privacy laws like GDPR and SOX
  • Conduct code reviews, testing, and optimization to maintain high performance and reliability in production environments
  • Work with data scientists and product managers to prototype and iterate on AI-driven features for client-facing applications
  • Troubleshoot and resolve complex technical issues in real-time trading or banking systems enhanced by generative AI
  • Contribute to the innovation of AI tools that improve risk assessment, fraud detection, and personalized financial advice
  • Mentor junior engineers on best practices for AI development within the constraints of financial security protocols
  • Stay updated on emerging AI technologies and assess their applicability to JP Morgan Chase's business challenges

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with company matching contributions
  • general: Generous paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Plano, TX

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JP Morgan Chase logo

Software Engineer III - Full Stack Generative AI/LLM

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - Full Stack Generative AI/LLM

full-timePosted: Dec 10, 2025

Job Description

Software Engineer III - Full Stack Generative AI/LLM

Location: Plano, TX, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through innovative technology. As a Software Engineer III - Full Stack Generative AI/LLM in our Plano, TX office, you will join a dynamic agile team dedicated to designing and delivering market-leading products that leverage cutting-edge AI to drive business value. In this role, you will architect full-stack solutions that integrate Generative AI and Large Language Models (LLMs) into core banking, investment, and risk management platforms, ensuring they are secure, scalable, and compliant with stringent financial regulations. Your work will directly impact how millions of clients experience personalized financial services, from AI-powered chatbots for customer support to advanced predictive analytics for fraud detection. You will collaborate closely with data scientists, product owners, and compliance experts to prototype, develop, and deploy AI-enhanced features that address real-world challenges in the financial sector. Responsibilities include building robust APIs, optimizing LLM performance for low-latency trading environments, and implementing safeguards against biases and data leaks in sensitive financial data processing. At JP Morgan Chase, we prioritize innovation within a framework of trust and security, so you will adhere to best practices like secure coding, regular audits, and ethical AI guidelines to protect client assets and maintain our reputation as a global leader in finance. This position offers the opportunity to grow your expertise in one of the most exciting areas of technology while contributing to JP Morgan Chase's mission of enabling the world's most important financial institutions to achieve their goals. With access to state-of-the-art tools, ongoing training in AI advancements, and a supportive culture that values work-life balance, you will thrive in an environment that fosters creativity and professional development. Join us in Plano, TX, and help shape the future of finance through Generative AI.

Key Responsibilities

  • Design, develop, and deploy full-stack applications leveraging Generative AI and LLMs to enhance financial products and services
  • Collaborate with agile teams to deliver secure, scalable technology solutions that meet regulatory standards in the financial industry
  • Integrate AI models into existing JP Morgan Chase platforms, ensuring compliance with data privacy laws like GDPR and SOX
  • Conduct code reviews, testing, and optimization to maintain high performance and reliability in production environments
  • Work with data scientists and product managers to prototype and iterate on AI-driven features for client-facing applications
  • Troubleshoot and resolve complex technical issues in real-time trading or banking systems enhanced by generative AI
  • Contribute to the innovation of AI tools that improve risk assessment, fraud detection, and personalized financial advice
  • Mentor junior engineers on best practices for AI development within the constraints of financial security protocols
  • Stay updated on emerging AI technologies and assess their applicability to JP Morgan Chase's business challenges

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience
  • At least 5 years of professional software engineering experience, with a focus on full-stack development
  • Proven experience in designing and implementing Generative AI and Large Language Model (LLM) solutions
  • Strong understanding of secure software development practices in a regulated financial environment
  • Experience working in agile methodologies and collaborating with cross-functional teams
  • Ability to obtain necessary security clearances or certifications for handling sensitive financial data

Preferred Qualifications

  • Master's degree in Computer Science, AI, or related field
  • Experience with financial services technologies, such as payment systems or risk management platforms
  • Familiarity with JP Morgan Chase's tech stack, including cloud platforms like AWS or Azure
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning) or secure coding practices

Required Skills

  • Proficiency in full-stack development with languages like Java, Python, or JavaScript/TypeScript
  • Expertise in Generative AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
  • Experience with LLMs like GPT models, fine-tuning, and prompt engineering
  • Knowledge of cloud computing platforms (AWS, Azure, or Google Cloud) for scalable AI deployments
  • Strong skills in database management (SQL/NoSQL) and API development (REST/GraphQL)
  • Understanding of cybersecurity principles, including encryption and secure coding in financial systems
  • Agile methodologies (Scrum/Kanban) and tools like Jira or Confluence
  • Problem-solving and analytical thinking for complex AI integration challenges
  • Excellent communication skills for collaborating with stakeholders in a fast-paced financial environment
  • Version control with Git and CI/CD pipelines (Jenkins, GitHub Actions)
  • Familiarity with containerization (Docker) and orchestration (Kubernetes)
  • Data handling skills for processing large datasets in compliance with financial regulations
  • Adaptability to evolving AI technologies and regulatory landscapes
  • Team collaboration and leadership in cross-functional projects

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with company matching contributions
  • Generous paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements, including hybrid options in Plano, TX

JP Morgan Chase is an equal opportunity employer.

Locations

  • Plano, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 320,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in full-stack development with languages like Java, Python, or JavaScript/TypeScriptintermediate
  • Expertise in Generative AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformersintermediate
  • Experience with LLMs like GPT models, fine-tuning, and prompt engineeringintermediate
  • Knowledge of cloud computing platforms (AWS, Azure, or Google Cloud) for scalable AI deploymentsintermediate
  • Strong skills in database management (SQL/NoSQL) and API development (REST/GraphQL)intermediate
  • Understanding of cybersecurity principles, including encryption and secure coding in financial systemsintermediate
  • Agile methodologies (Scrum/Kanban) and tools like Jira or Confluenceintermediate
  • Problem-solving and analytical thinking for complex AI integration challengesintermediate
  • Excellent communication skills for collaborating with stakeholders in a fast-paced financial environmentintermediate
  • Version control with Git and CI/CD pipelines (Jenkins, GitHub Actions)intermediate
  • Familiarity with containerization (Docker) and orchestration (Kubernetes)intermediate
  • Data handling skills for processing large datasets in compliance with financial regulationsintermediate
  • Adaptability to evolving AI technologies and regulatory landscapesintermediate
  • Team collaboration and leadership in cross-functional projectsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience (experience)
  • At least 5 years of professional software engineering experience, with a focus on full-stack development (experience)
  • Proven experience in designing and implementing Generative AI and Large Language Model (LLM) solutions (experience)
  • Strong understanding of secure software development practices in a regulated financial environment (experience)
  • Experience working in agile methodologies and collaborating with cross-functional teams (experience)
  • Ability to obtain necessary security clearances or certifications for handling sensitive financial data (experience)

Preferred Qualifications

  • Master's degree in Computer Science, AI, or related field (experience)
  • Experience with financial services technologies, such as payment systems or risk management platforms (experience)
  • Familiarity with JP Morgan Chase's tech stack, including cloud platforms like AWS or Azure (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning) or secure coding practices (experience)

Responsibilities

  • Design, develop, and deploy full-stack applications leveraging Generative AI and LLMs to enhance financial products and services
  • Collaborate with agile teams to deliver secure, scalable technology solutions that meet regulatory standards in the financial industry
  • Integrate AI models into existing JP Morgan Chase platforms, ensuring compliance with data privacy laws like GDPR and SOX
  • Conduct code reviews, testing, and optimization to maintain high performance and reliability in production environments
  • Work with data scientists and product managers to prototype and iterate on AI-driven features for client-facing applications
  • Troubleshoot and resolve complex technical issues in real-time trading or banking systems enhanced by generative AI
  • Contribute to the innovation of AI tools that improve risk assessment, fraud detection, and personalized financial advice
  • Mentor junior engineers on best practices for AI development within the constraints of financial security protocols
  • Stay updated on emerging AI technologies and assess their applicability to JP Morgan Chase's business challenges

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with company matching contributions
  • general: Generous paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements, including hybrid options in Plano, TX

Target Your Resume for "Software Engineer III - Full Stack Generative AI/LLM" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Software Engineer III - Full Stack Generative AI/LLM. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineer III - Full Stack Generative AI/LLM" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for Software Engineer III - Full Stack Generative AI/LLM @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.