Context Plane Python Engineer

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and advanced applied experience
• Demonstrated expertise building production-grade backend services and data pipelines in Python
• Strong command of API design principles (e.g., FastAPI), automated testing, CI/CD practices, and source control workflows
• Experience designing and building data ingestion or integration pipelines at scale, with attention to data quality and resilience
• Proficiency working with cloud infrastructure (AWS) and containerized services (Docker/ECS)
• Ability to own technical components end-to-end — from design through deployment and observability
• Strong collaboration skills with the ability to work across engineering, product, and data science disciplines
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• Experience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modeling
• Familiarity with vector search, embeddings, or retrieval-augmented generation (RAG) patterns
• Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI
• Experience with Databricks, MongoDB, or large-scale extract, transform, and load / data integration workflows
• Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment

Responsibilities:

• Design, build, and maintain backend services and data pipelines in Python that load firm knowledge into a knowledge graph and vector store
• Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents
• Extract and promote reusable components into a shared core library, reducing duplication across the platforms repositories
• Integrate with data sources and services across the firm, including enterprise AI and large language model gateways
• Own quality across our components: automated testing, code reviews, observability, and resilient, secure service design
• Partner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilities
• Contribute to design discussions and agile ceremonies, and actively mentor teammates to raise the engineering bar across the team
• Drive team adoption of enterprise-authorized AI-assisted engineering practices within our work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Technologies:

• AI
• AI Agents
• API
• AWS
• Azure
• Backend
• CI/CD
• Cloud
• Databricks
• Docker
• FastAPI
• Support
• Marketing
• Model Serving
• MongoDB
• Neo4J
• Python
• RAG
• Security

More:

We are JPMorganChase, and within our Corporate Technology Data and Analytics Services team we are building the Context Plane — a greenfield platform that connects our data mesh and knowledge sources to AI agents and large language model tools. This is a hands-on senior role with end-to-end ownership, real architectural scope, and active cross-functional collaboration. We support internal mobility and upskilling, and we value curious, pragmatic engineers who want to grow into emerging technology stacks. We are also committed to diversity and inclusion, and we provide reasonable accommodations for religious practices and beliefs as well as mental health or physical disability needs. Our Corporate Functions teams span areas from finance and risk to human resources and marketing, helping set our businesses, clients, customers, and employees up for success. This is a full-time role.

last updated 36 week of 2026