Important: this role is for senior software engineers with 7+ years high-coding experience and who are already building software with AI-native development environments such as Claude Code or Cursor.
If your experience with AI is limited to ChatGPT assistance, Copilot, or occasional prompting — or if you don't have a senior software engineering background — this role will likely not be a fit.
Enterprise software delivery, re‑imagined for an AI‑first world.
- Remote (UK preferred)
- Permanent (contract considered)
- £65,000–£75,000 + options
- Applications close: 21 June
- Start: ASAP
The short version
No Code Sage is building an AI-first software delivery agency.
After three years working closely with a large enterprise client, we’re now making a senior hire to help scale that work into a repeatable, AI-first delivery business.
We’re looking for a Senior Software Engineer – AI-First Delivery to join as an early employee in a rapidly growing team, to:
- Deliver a real, enterprise-grade client-facing platform, built with AI and designed from an AI-first mindset, for a live client
- Help codify and refine the standards, workflows, and guardrails for how AI-first software is delivered
This is a ground-floor opportunity with immediate responsibility and impact. You’ll help shape delivery standards while building real production systems from day one.
What we’re building
You’ll be immediately placed on a live client engagement, working on an AI-first, client-facing platform that acts as the front door into a mature, highly developed enterprise system.
This is a client that No Code Sage has an established, multi‑year relationship with. You’ll be expected to represent the business and deliver from day one — designing and building a client-facing platform using an AI-first software delivery mindset, while helping shape the patterns that future client work will follow.
The platform will:
- Integrate deeply with an existing, large-scale low-code enterprise solution
- Be delivered for a large multinational consultancy
- Support global procurement and operations teams across multiple regions
You’ll be delivering real enterprise software from day one, using modern AI-assisted workflows that you’ll help apply, improve, and hold to a high standard.
Technical environment
You’ll be working in a modern, AI-accelerated engineering environment. While specific implementations evolve, the typical stack includes:
- TypeScript across the stack
- Node.js services and APIs
- Modern React-based frontend frameworks
- PostgreSQL
- Cloud-hosted infrastructure (AWS or similar)
- Deep integration with existing enterprise low-code platforms
- Extensive use of LLM tooling (Claude, Cursor, Codex, Antigravity, agent workflows, structured prompting, automated reasoning pipelines)
We care about strong engineering fundamentals — clear boundaries, good naming, maintainable architecture, and production-grade quality — accelerated through intelligent AI usage.
What this role actually is
This is a hands-on senior engineering role with technical leadership responsibility.
You will:
- Contribute to architecture decisions and own delivery within your domain
- Lead implementation of the initial client platform alongside the founder
- Design and refine AI-first development workflows and standards
- Establish best practices, guardrails, and operating principles
- Balance speed, quality, security, and maintainability
- Help turn a consulting engagement into a repeatable delivery model
You’ll operate as a senior engineer with opportunities to lead a development squad — shaping solutions, guiding clients, and representing deep expertise. You’ll design and build alongside the team, communicate clearly with senior client stakeholders, and take ownership end‑to‑end, from problem framing through to production delivery.
You’ll work extremely closely with the founder as one of the first hires into a scaling team, with meaningful ownership and influence, and the opportunity to gain a stake in the business from an early stage.
What “AI-first” means here (non-negotiable)
AI is non-negotiable. It is not an add-on — it is the starting point.
We are building a delivery model where modern LLM-assisted workflows are the default. AI is used across development, testing, documentation, and reasoning — not as a shortcut, but as a multiplier.
Challenges and constraints are expected and actively solved using AI. They are not reasons to avoid it.
At senior level, we expect you not only to use AI well yourself, but to design, critique, and improve the AI delivery systems used by others.
You should be comfortable defining standards, introducing review gates, and enforcing quality in an AI-heavy engineering environment.
If you’re already operating this way and want an environment where that mindset is expected, you’ll feel at home here. If you’re still deciding whether this is how you want to work, this likely isn’t the right fit.
What we’re looking for
Experience & seniority
- 7+ years professional software development experience
- Currently operating at Senior Engineer level (or close equivalent)
- Comfortable contributing to architecture and owning delivery end-to-end
- Comfortable leading other engineers where required
- Startup or scale-up experience highly desirable
AI-assisted development (essential)
You must:
- have designed or significantly refined AI-assisted workflows to be used by others
- have introduced guardrails or quality controls into AI-heavy delivery
- have demonstrable, hands-on experience doing this in real work, with clear opinions and personal workflows
- have made explicit architectural decisions about where AI should and should not be trusted in production systems
- have real, demonstrable examples of AI-assisted or AI-first work you can walk through
- have deep experience with Claude Code or equivalent agent-driven development environments is strongly preferred.
You should be able to clearly explain:
- How your AI workflow is structured
- How you manage context and session boundaries
- How you validate and verify outputs
- What failure modes you’ve encountered
- What guardrails you’ve implemented
- What production risks AI introduces — and how you mitigate them
You should be able to describe your AI workflow as a system — with defined stages, guardrails, validation steps, and iteration loops.
If you’ve never deliberately improved your AI workflow, this role is unlikely to be a fit.
You’ll be expected to walk through concrete examples, demonstrate how you work, and explain your approach to AI‑assisted development during the interview process.
What We Are Not Looking For
We are not looking for engineers who:
- Prompt their way through features
- Treat AI as a speed boost without system design
- Rely on trial-and-error prompting without guardrails
- Haven’t deliberately engineered their AI workflow
Anyone can type prompts into an LLM.
We’re looking for engineers who have designed a deliberate, enforceable system around it.
Mindset
You should be excited by starting at the beginning and helping shape how things are done.
You’re comfortable creating the playbook rather than being handed one. You’re a doer — someone who figures things out, takes ownership, and gets things done without needing perfect information or constant direction. When something needs solving, your instinct is "leave it with me, I’ll sort it".
This is a day-one agency environment, immediately delivering for a real enterprise client. Outwardly it’s calm, professional, and credible; behind the scenes, you’re helping build the foundations, solve problems, and make progress where there is no precedent yet.
If you’re looking for a highly structured, comfortable role with everything clearly defined upfront, this won’t feel like home. If you’re excited by responsibility, momentum, and building something meaningful while delivering for real clients, it probably will.
Location & working style
- Fully remote
- UK-based preferred (but not required)
- Occasional travel (around once a month) to:
- Client sites (primarily London and Lisbon, with other locations possible)
- Bristol (founder location)
What success looks like
Within 3 months
You’ll be embedded with the client, contributing to solution design and delivering production-ready AI-first platform components.
Within 6 months
You’ll have helped establish clear AI-first delivery standards, workflows, and reusable patterns.
Within 12 months
You’ll have contributed to turning a successful engagement into a repeatable delivery model that underpins future client work.
Compensation
- £65,000–£75,000 salary (depending on experience)
- Options included
- Permanent role
Application process (important)
To apply, please do the following:
- CV
- A short note explaining why you believe you’re a strong fit for this role and what excites you about it
If progressed to interview, you will be asked to submit a brief video (1–2 minutes max) introducing yourself and showing either:
- Something you've shipped to production using AI development
- Your AI-assisted development workflows and methodology
- Tools, agents, platforms, or systems you've built
This does not need to be polished. The aim is to understand how you communicate, explain technical ideas, and talk through your work — all of which are essential parts of the role.
Applications will close on 21 June 2026.
Why you should apply
This is a chance to join at an early stage and help build something properly — not just a role, but a way of delivering enterprise software in an AI-first world.
You’ll work on real enterprise problems, with real clients, and real impact from day one. You’ll help shape how AI-first delivery is done in practice, alongside people who genuinely believe this is the future and are already operating that way.
If building, leading, and delivering in an AI-first way — with ownership, momentum, and ambition — genuinely excites you, this role will feel like an opportunity.
If this feels like the role you’ve been waiting for, we should talk.
Job Type: Full-time
Pay: £65,000.00-£75,000.00 per year
Benefits:
- Employee stock ownership plan
- Flexitime
- Work from home
Work authorisation:
- United Kingdom (required)
Work Location: Remote
