Lead Software Engineer - Python/GenAI/LLM/Agentic AI

Overview

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

As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology team, you are 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 firm’s business objectives.

Job Responsibilities

• Design, develop, and maintain backend services for AI and Agentic AI applications using Python.
• Build and integrate agentic frameworks (Langgraph, Langchain, Autogen, Google ADK) to enable autonomous and intelligent marketing solutions.
• Collaborate with data scientists, product managers, and MarTech stakeholders to understand requirements and deliver robust solutions.
• Develop APIs and microservices to support AI-driven marketing workflows, personalization, and automation.
• Ensure scalable, secure, and reliable deployment of applications on AWS.
• Write clean, maintainable, and well-documented code following best practices.
• Participate in code reviews, architecture discussions, and continuous improvement initiatives.
• Monitor, troubleshoot, and optimize application performance in production environments.
• Stay up-to-date with the latest advancements in AI, agentic frameworks, and MarTech trends.
  
  

• Formal training or certification on Java concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 2+ years of experience in backend software development, preferably with Python.
• 2+ years of experience with RESTful APIs, microservices architecture, and cloud-native development.
• Min 1 years of hands-on experience with agentic AI frameworks such as Langgraph, Langchain, Autogen, or Google ADK.
• Experience deploying and managing applications on AWS (EC2, Lambda, S3, etc.).
• Exposure to CI/CD pipelines and DevOps practices on AWS.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
  
  

• Experience in MarTech or AdTech domains.
• Knowledge of data engineering, analytics, or ML model deployment.