Product Engineer, Applied AI | Python & Cloud Deployments

White & Case LLP

Greater London

On-site

GBP 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Private medical insurance
Pension plan with matched employercon
Yearly wellbeing fund
Income protection
Life insurance
Critical Illness insurance
Private GP services
Travel insurance
Dental coverage
Cycle to work
Holiday purchase

Job summary

White & Case LLP in London, United Kingdom, is seeking an experienced software engineer to take prototypes through production, build Python services and APIs, and develop MCP integrations with secure authentication. The role involves cloud deployments, SDLC compliance, and creating robust, scalable solutions.

You will report to the Associate Director, Applied AI, as part of the Innovation & AI team, collaborating with security, infrastructure and product specialists to resolve complex challenges.

Qualifications

  • Professional software engineering experience that includes taking incomplete, experimental or early-stage applications into production and maintaining them afterwards.
  • Experience working in an autonomous, fast-moving environment where you contributed across development, integration, deployment and live operation.
  • Strong Python skills and experience with FastAPI or comparable Python frameworks.
  • Strong SQL and relational database skills, plus experience designing and integrating APIs.
  • Practical understanding of authentication and authorisation, including OAuth 2.0 or OpenID Connect.
  • Experience with automated testing, Git, CI/CD, cloud deployment and production troubleshooting.
  • Clear communication, pragmatic product and engineering judgement, and the ability to bring structure to unfamiliar or incomplete systems. You should be comfortable making progress with limited documentation, surfacing risks early and working with security, infrastructure and product specialists to resolve them.

Responsibilities

  • Assess prototypes for production readiness, including architecture, code quality, dependencies, data handling, security, scalability, supportability and user value.
  • Recommend whether each prototype should be hardened, refactored, rebuilt or stopped, and agree a practical route to production.
  • Build Python services, relational data models, APIs and background processing; add lightweight frontend interfaces where useful.
  • Develop MCP integrations through the Firm’s gateway, handling authentication, permissions and token exchange with downstream applications.
  • Work with Technology on approved cloud deployments and connections to on-premises systems, resolving infrastructure and integration dependencies.
  • Follow the Firm’s central SDLC and security policies; implement testing, access controls, audit logging and secure secrets handling.
  • Take production applications through deployment, controlled release and early live use, then establish clear ownership, support procedures, service expectations and handover arrangements with the relevant Technology teams.
  • Define and run evaluations for AI-enabled behaviour, including representative test cases, quality thresholds, regression testing and human review where appropriate. Monitor failures, latency, usage and consumption costs in production, and use the results to improve applications and contribute reusable engineering patterns as the team grows.

Skills

Python
FastAPI
SQL
APIs
Authentication/Authorization
CI/CD
Testing
Communication & Judgement

Tools

Git
Azure
API gateways
OAuth/OpenID Connect

Job description

White & Case LLP in London, United Kingdom, is seeking an experienced software engineer to take prototypes through production, build Python services and APIs, and develop MCP integrations with secure authentication. The role involves cloud deployments, SDLC compliance, and creating robust, scalable solutions.

You will report to the Associate Director, Applied AI, as part of the Innovation & AI team, collaborating with security, infrastructure and product specialists to resolve complex challenges.

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