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 JPMorganChase within the Auto Technology division, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
- Develop modular components for agentic systems to enable intelligent automation and orchestration within business platforms; continuously build, test, and maintain these components.
- Own individual workstreams and Jira stories, consistently delivering high-quality code and features as part of broader AI/ML initiatives.
- Collaborate closely with team members to integrate agentic capabilities into existing systems and actively support solution delivery.
- Containerize and deploy agentic system components on cloud platforms (preferably AWS), strictly following established DevOps and infrastructure-as-code practices.
- Apply the latest advancements in agentic frameworks (such as LangGraph, Google ADK, AutoGen), LLMs, and GenAI to assigned tasks and features by staying up to date with industry developments.
- Document design decisions, implementation details, and results; clearly communicate progress and technical concepts to team members and stakeholders.
- Ensure code quality, security, and compliance by conducting thorough testing, peer reviews, and adhering to best practices.
Required Qualifications, Capabilities, and Skills
- Bachelor’s degree with 3+ years’ experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering).
- Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments.
- Strong Python / JAVA programming skills, with a focus on modular, scalable, and maintainable code.
- Experience with cloud platforms (AWS), containerization (Docker), and infrastructure as code (Terraform).
- Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes.
- Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams.
- Excellent problem-solving, communication, and documentation skills.
Preferred Qualifications, Capabilities, and Skills
- Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG).
- Exposure to agentic system design patterns, orchestration, and workflow automation.
- Ability to design and evaluate autonomous system features aligned with business goals.