TLDR
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 not 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:
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 evalsHuman-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
