Full-stack Engineer (Python & Typescript)

Company Description

Legal & General (L&G) is a leading UK financial services group and major global investor.

We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.

We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.

L&G Institutional Retirement looks after around 700,000 institutional customers who have their retirement benefits secured with us. Operating continuously in the UK market from our entrance in 1987, we are the UK’s longest-running insurer.

Our Institutional Retirement business is the UK’s longest-serving active bulk annuity provider.

Who we are

Institutional Retirement is the only insurer to have been operating continuously in the UK market from our entrance in 1987 to the present day. Our UK retirement annuity book stands at an estimated £86.1 billion at 31 December 2023.

Across our retail and institutional retirement businesses, we look after more than 1 million customers, around c.700,000 of whom are institutional customers who have had their retirement benefits secured with us.

Job Description

We are seeking a Full‑Stack Engineer to join the PRoboT product team as one of its first engineering hires. This role will work hands‑on across the full technology stack, partnering closely with the Product Engineering Lead to build, scale, and mature the platform. The successful candidate will play a key role in delivering PRoboT’s v2 foundations, enabling enterprise integrations, and developing future capabilities across the PRT lifecycle.

PRoboT is a strategic product within Institutional Retirement, designed to transform how Pension Risk Transfer (PRT) business is priced through AI‑driven document understanding, automation, and deep integration with core pricing and modelling platforms. Initially developed with a third‑party partner, PRoboT is now evolving into an internally owned, enterprise‑grade product supported by a dedicated product engineering team.

What you’ll be doing:

• Designing, building, and maintaining high‑quality front‑end and back‑end components of PRoboT across the full product lifecycle, from discovery and design through to production support
• Developing and evolving secure, scalable APIs and integrations between PRoboT and core enterprise systems, including DMS, the Modelling Platform, Falcon, Conductor, and downstream services using Azure‑based patterns
• Delivering AI‑enabled product capabilities by contributing to document ingestion, transformation, evaluation pipelines, and the continuous improvement of accuracy and reliability alongside actuaries and domain experts
• Applying strong engineering discipline through automated testing, CI/CD pipelines, code quality standards, observability, and operational resilience to support PRoboT as a production‑critical service
• Collaborating closely with the Product Engineering Lead to establish engineering standards, development practices, and technical direction as the product and team scale
• Partnering with cross‑functional stakeholders across pricing, actuarial, modelling, data, and architecture teams to translate business needs into robust technical solutions
• Ensuring responsible and compliant product outcomes by designing transparent workflows, outputs, and user journeys that support clear, accurate decision‑making
• Supporting Consumer Duty accountability through strong governance, controls over automated outputs, and careful consideration of user and business impact

Who we’re looking for:

• A hands‑on full‑stack software engineer with strong experience building and supporting modern, product‑led applications in agile or iterative delivery teams
• Proven experience designing, building, and operating production systems on cloud platforms, with Azure experience strongly preferred
• Solid expertise in front‑end development using modern frameworks such as React (or equivalent) and back‑end development using languages and frameworks such as .NET, Python, or Node.js
• Strong experience with APIs, distributed systems, and enterprise integrations, including secure authentication and authorisation patterns in enterprise environments
• A…