Senior Full Stack Engineer (Immediate Joiner)

Overview

This is a senior (5+ years), hands-on engineering role focused on delivering solutions end-to-end, from data and backend services through to user-facing applications. The successful candidate will work within a modern AI-first engineering environment, leveraging agentic workflows, AI tooling, and software engineering best practices to deliver high-quality solutions at speed.

Key Responsibilities

The successful candidate will:

• Deliver services end to end - data through to interface.

• Build harness scaffolding, rules files and the skills library to enable the use of AI throughout our workflows

• Own the output of agentic workflows, whoever or whatever wrote it, so that the team ships work it understands and can stand behind

• Keep progress legible and raise blockers and scope risk the day they appear

• Pay down debt and clear logged exceptions with the Architect at cooldown, and feed build reality into the harness backlog, so that every delivery cycle starts from a higher floor than the last

• Take on harder work and a growing share of review cycle on cycle, so that capability deepens and delivery does not bottleneck on the leads

• Proactively track industry trends, emerging tools and agentic engineering practice, and self-initiate the learning needed to apply them - trialling promising techniques and approaches in cooldown and sharing what works back into the harness, rules files and skills library.

Essential Skills & Experience

We are seeking candidates with:

• Strong, current full-stack engineering capability with hands-on delivery in an CI/CD SLDC

• Practical coding experience in Python and JavaScript/TypeScript, working comfortably across back-end services, front-end interfaces and automation scripting

• Consideration for UI/UX best practices and emerging design trends

• The ability to take a slice from data through to interface, including its tests and evals, without waiting for it to be specified in detail

• Comfortable building within CI/CD pipelines and infrastructure-as-code, to the secure, observable and tested defaults the pipeline enforces

• Sound grounding in security, observability and test and evaluation automation, enough to leave a deliverable operable by a team that did not build it

• Practical experience of AI-first, agentic delivery - working from rules files, known-good templates and a curated skills library, and writing evals for AI-generated output

• Sound judgement on where agents help and where human design must come first, with the discipline to pace throughput to comprehension

• Habit of honest, early signalling on progress, blockers and scope, and of contributing improvements back into shared tooling and standards

• A working knowledge across multiple AI tools and models, with the judgement to select the appropriate tool/model based on the development task, complexity, security requirements and expected outcome

• A strong prompt and context engineering skills, including creating effective instructions, rules and contextual information appropriate to the goal