DescriptionWe 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 & 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 firms business objectives.
At JPMorgan Chase we are reimagining software engineering itself by building an AI-Native SDLC Agent Fabric a next generated ecosystem of autonomous collaborative agents that transform every phase of the software delivery lifecycle. We are forming a foundational engineering team to architect design and build this intelligent SDLC framework levering multi-agent systems AI toolchains LLM Orchestration (A2A MCP) and innovative automation solutions. If youre passionate about shaping the future of engineeringnot just building better tools but developing a dynamic self-optimizing ecosystemthis is the place for you.
Job responsibilities
- Works closely with software engineers product managers and other stakeholders to define requirements and deliver robust solutions.
- Designs and Implement LLM-driven agent services for design code generation documentation test creation and observability on AWS
- Develops orchestration and communication layers between agents using frameworks like A2A SDK LangGraph or Auto Gen
- Integrates AI agents with toolchains such as Jira Bitbucket Github Terraform and monitoring platforms
- Collaborates on system design SDK development and data pipelines supporting agent intelligence
- Provides technical leadership mentorship and guidance to junior engineers and team members.
Required qualifications capabilities and skills
- Formal training or certification onsoftware engineeringconcepts and 3 years applied experience.
- Experience in Software engineering using AI Technologies
- Strong hands-on skills in Python Pydantic FastAPI LangGraph and Vector Databases for building RAG based AI agent solutions integrating with multi-agent orchestration frameworks and deploying end-to-end pipelines on AWS (EKS Lambda S3 Terraform)
- Experience with LLMs integration prompt/context engineering AI Agent frameworks like Langchain/LangGraph Autogen MCPs A2A.
- Solid understanding of CI/CD Terraform Kubernetes Docker and APIs
- Familiarity with observability and monitoring platforms
- Strong analytical and problem-solving mindset.
DescriptionWe 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 & Wealth Management you serve as a seasoned member of an agile team to design and deliver trusted market-leading t...
DescriptionWe 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 & 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 firms business objectives.
At JPMorgan Chase we are reimagining software engineering itself by building an AI-Native SDLC Agent Fabric a next generated ecosystem of autonomous collaborative agents that transform every phase of the software delivery lifecycle. We are forming a foundational engineering team to architect design and build this intelligent SDLC framework levering multi-agent systems AI toolchains LLM Orchestration (A2A MCP) and innovative automation solutions. If youre passionate about shaping the future of engineeringnot just building better tools but developing a dynamic self-optimizing ecosystemthis is the place for you.
Job responsibilities
- Works closely with software engineers product managers and other stakeholders to define requirements and deliver robust solutions.
- Designs and Implement LLM-driven agent services for design code generation documentation test creation and observability on AWS
- Develops orchestration and communication layers between agents using frameworks like A2A SDK LangGraph or Auto Gen
- Integrates AI agents with toolchains such as Jira Bitbucket Github Terraform and monitoring platforms
- Collaborates on system design SDK development and data pipelines supporting agent intelligence
- Provides technical leadership mentorship and guidance to junior engineers and team members.
Required qualifications capabilities and skills
- Formal training or certification onsoftware engineeringconcepts and 3 years applied experience.
- Experience in Software engineering using AI Technologies
- Strong hands-on skills in Python Pydantic FastAPI LangGraph and Vector Databases for building RAG based AI agent solutions integrating with multi-agent orchestration frameworks and deploying end-to-end pipelines on AWS (EKS Lambda S3 Terraform)
- Experience with LLMs integration prompt/context engineering AI Agent frameworks like Langchain/LangGraph Autogen MCPs A2A.
- Solid understanding of CI/CD Terraform Kubernetes Docker and APIs
- Familiarity with observability and monitoring platforms
- Strong analytical and problem-solving mindset.
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