Software Engineer II
2 weeks ago
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer II at JPMorgan Chase within the Asset & Wealth Management, 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
- Serves as a subject matter expert in AI-driven software engineering, providing deep technical expertise and guidance on complex topics.
- Advises and support teams to execute department and project goals, coordinating efforts across multiple departments and stakeholders.
- Leads the design, architecture, and implementation of LLM-driven agent services for design, code generation, documentation, test creation, and observability on AWS.
- Architects and develop advanced orchestration and communication layers between agents using frameworks such as A2A SDK, LangGraph, or AutoGen.
- Integrates AI agents with toolchains including Jira, Bitbucket, GitHub, Terraform, and monitoring platforms.
- Identifies gaps in information, analyze complex problems, and act as a preliminary escalation point for technical and project issues.
- Plans and organize own work and, where applicable, manage and plan the work of others to ensure alignment with team and department priorities.
- Collaborates on system design, SDK development, and data pipelines supporting agent intelligence.
- Ensures adherence to best practices, security, and compliance standards throughout the development lifecycle.
- Mentors and provide technical leadership to engineers, fostering knowledge sharing and professional growth.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience.
- Experience in software engineering with a focus on AI technologies.
- Complete understanding of software engineering methods, systems, and procedures; recognized as a subject matter expert in relevant technical domains.
- Strong hands-on skills in Python with experience in frameworks such as FastAPI and Pydantic.
- Experience deploying and managing applications on AWS, including ECS and EKS.
- Extensive experience with LLM integration, prompt/context engineering, and AI agent frameworks such as Langchain/LangGraph, Autogen, MCPs, and A2A.
- Solid understanding of CI/CD, Terraform, Kubernetes, Docker, and APIs.
- Familiarity with observability and monitoring platforms.
- Strong analytical and problem-solving mindset, with the ability to identify and resolve complex issues.
- Demonstrated ability to plan and organize work, coordinate across teams, and act as an escalation point for technical challenges.
Preferred qualifications, capabilities, and skills
- Familiarity with Retrieval-Augmented Generation (RAG) and Knowledge-Augmented Generation (KAG) techniques.
- Experience with Azure or Google Cloud Platform (GCP).
- Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.
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