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Software Engineer (AI / Agentic Systems)

WANDERING STUDIO PTE. LTD.

Penarth

Hybrid

GBP 50,000 - 70,000

Full time

Today
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Job summary

A leading AI-driven content marketing company in the UK seeks a skilled software engineer to design and build innovative AI systems for SEO automation. This role emphasizes independent problem-solving and collaboration with startup founders. Ideal candidates are expected to have strong TypeScript, Next.js experience, and a deep understanding of AI coding tools. If you're excited about shaping the future of SEO through advanced AI, apply now!

Qualifications

  • Experience with AI coding tools (Claude Code preferred).
  • Strong understanding of TypeScript, not just basic knowledge.
  • At least one project using LLMs and structured data.

Responsibilities

  • Design and build AI systems for SEO automation.
  • Implement changes directly in customer environments.
  • Work closely with startup founders and growth teams.

Skills

AI coding tools
Strong TypeScript
Next.js experience
Experience with structured data
Craftsmanship
Job description
TL;DR

Synscribe is building the next-generation SEO agency as a service — not tools for consultants, but AI systems that replace the consultant layer entirely.

We’re hiring a software engineer to help us design and build AI agents that:

  • Plan, execute, and iterate on SEO strategies autonomously
  • Learn from outcomes over time
  • Deliver measurable revenue impact for high-growth B2B startups

This is not a traditional SaaS role.

This is “SEO tooling.”

This is applied AI, agents, evals, and real-world feedback loops, deployed directly into customer production environments.

If you want to work on problems like long-horizon agent planning, human-in-the-loop design, LLM evals, and AI systems that actually ship and make money, keep reading. Application only accepted on our career page (not MCF).

About Synscribe

Synscribe is a fast-growing B2B service company at the forefront of AI-driven content marketing and AI search (LLMs / GEO).

We partner with Series A–B B2B SaaS companies (typically $500k+ ARR, global) to ensure their ideal customers find them across:

  • Traditional search engines (Google)
  • AI-native search and discovery surfaces (ChatGPT, etc.)
What makes us different
  • Results in days, not months

    Clients often see inbound leads within 3 days of publishing.
  • LLM-native impact

    AI search regularly drives:

    • ~2× the leads of traditional search
    • 2–4× higher conversion rates
  • 10× operational efficiency vs traditional SEO agencies

  • Engineering-led agency model

    We build and operate proprietary AI systems instead of hiring armies of consultants.

See case studies: https://www.synscribe.com/blog?tag=case-study

What We’ve Built So Far

You’ll be working on (and extending) a production system that already includes:

  • AI-powered keyword & content planning
  • Deep competitor research
  • Social listening → content ideation
  • Automated, high-quality content pipelinesMulti-step researchCitation + FAQ generationStructured outputs
  • Programmatic landing page generation
  • Automated link building & outreach
  • End-to-end planning → execution → reporting loops

These systems are used daily to drive revenue for real companies.

What You’ll Work On
1. The Next-Gen “SEO Agency as a Service”

We are building AI systems that replace humans, not just assist them.

That means:

  • Encoding the skills of the best SEO consultants into scalable AI agents
  • Planning and executing work over weeks and months, not single prompts
  • Learning from past outcomes to improve future strategies
  • Owning customer outcomes, not just providing tools
2. Forward-Deployed Engineering

You’ll work directly with:

  • Startup founders
  • In-house engineers
  • Growth teams

You won’t just ship features — you’ll:

  • Implement changes directly in customer environments
  • Close feedback loops fast
  • Discover real constraints early
  • Use production data to inform system design
3. Hard, Interesting Problems We’re Actively Solving
  • Output quality at scale - LLM evals, human-in-the-loop systems that don’t overwhelm humans
  • Formalized agent “skills” - Long-horizon planningTool useSelf-improvement from historical results
  • AI model collapse / ouroboros problems - Avoiding AI consuming AI-generated trash. Designing robust RAG and core knowledge boundaries
  • Agency → self-service transition - Lowering the education barrierMaking complex systems usable without SEO expertise
  • Ecosystem-level effects - Cross-portfolio link buildingNetwork effects across customers
  • Human-as-trainer loops - Systems that learn from expert operator behavior. Continuous improvement without prompt spaghetti
Tech Stack
  • TypeScript (real TypeScript, not any)
  • Next.js
  • Trigger.dev (durable execution / workflows)
  • LangChain
  • LangGraph / Mastra
  • Internal orchestration layer for agent + human-in-the-loop workflows
Advanced Topics You’ll Touch
  • AI agents & agent orchestration
  • LLM evals and quality measurement
  • RAG and structured knowledge systems
  • Human-in-the-loop system design
  • Longitudinal learning and feedback loops
Culture & How We Work

This is a culture-defining hire.

We are a small team (currently 3) moving very fast. You will help set the bar.

What we value
  • High ownership

    You care deeply about your work, your craft, and the customer.
  • Independent learning

    You don’t wait to be taught. You bring net-new knowledge into the team.
  • Experimentation over ego

    Hypothesize → test → validate → iterate. Ideas don’t win — results do.
  • High-leverage work

    Do the dirty work, then automate it. If you’re stuck doing low-leverage work repeatedly, something is broken.
  • AI-first (but not AI-dependent)

    AI is an exoskeleton, not a crutch. You understand its limitations as well as its power.
Must-Have Skills (No Exceptions)

If you don’t meet all of these, this role is not a fit.

  • Experience with AI coding tools

    (Claude Code preferred; Cursor / Codex acceptable)
  • Strong TypeScript

    Not JavaScript with types slapped on — real understanding of types, generics, etc.
  • Next.js experience

    Including server-side execution, constraints, and tradeoffs
  • At least one real project using LLMs + structured data

    Can be a side project, spike, or open-source work
  • Craftsmanship

    You care deeply about the quality of what you build and continuously push yourself to improve
Nice-to-Haves (Stand Out Here)
  • Blogs or write-ups on things you’ve built (especially AI-related)
  • Open-source projects
  • Prompt engineering experience
  • LLM evals or quality measurement experience
Who Will Not Thrive Here

This role is not for you if:

  • You need hand-holding or constant direction
  • You haven’t learned or tried anything new recently
  • You consume content about AI more than you experiment
  • You can’t work without AI tools
  • You don’t understand the current limitations of AI
  • You’ve been doing the same thing month after month
  • You believe you’re “too senior” for unsexy or dirty work

Everyone here does the work — including the founder.

Level & Structure
  • No management roles
  • No PM buffer
  • High autonomy, high responsibility
Why This Role Is Special

You won’t be:

  • Maintaining legacy code
  • Tweaking dashboards
  • Building features disconnected from outcomes

You will be:

  • Designing real AI systems that operate in the wild
  • Shipping fast and learning faster
  • Helping define what an “AI-native agency” actually looks like
  • Working on problems most teams only talk about on Twitter

If this excites you, we’d love to see what you’ve built.

Where to apply?

https://www.synscribe.com/career

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