Senior Full-Stack Engineer – LLM / NLP Focus
Full-timeRemote-first (core hours GMT–5 → GMT+3)Reports to: CPO / Co-Founder
Why this role matters
AI search is reshaping how buyers discover software. xfunnel brings transparency to that black box - monitoring how engines like ChatGPT, Gemini, and Perplexity cite brands, then turning those insights into revenue-facing actions.
xfunnel.ai monitors that shift in real-time and turns it into revenue signals for marketers. To keep pace, we need a senior engineer who can own the full stack - while wrangling LLM pipelines that scale.
What you'll do
- 40 % – Ship product features end-to-end
Next.js, TypeScript, Node, Supabase - 30 % – Build LLM/NLP services
Prototype, fine-tune, and serve models with different LLMs then harden them with tests and observability hooks. - 15 % – LLMOps & scalability
Containerise models, set up retrieval-augmented generation (RAG) and evaluation loops so features stay fast and cheap in prod. - 10 % – Data & analytics plumbing
Create pipelines that ingest data and user events, transform them into embeddings, and expose insights via dashboards. - 5 % – Mentoring & code quality
Review PRs, level-up junior engineers, and guard our architecture's simplicity as we scale.
You'll thrive here if you…
- Bring 5-8 yrs professional dev experience, with 3+ shipping modern full-stack web apps (React/Next.js + Node/Go/Python).
- Have hands-on NLP/LLM chops: fine-tuned a Transformer, built a agent, or shipped a RAG feature to prod.
- Treat CI/CD, automated tests, and "you build it, you run it" as non-negotiable.
- Love small-team ambiguity—one hour coding, next hour debugging prod, then jumping into a customer call.
- Write crisp, async-friendly prose (PRDs, RFCs, Looms) because half our team sleeps while you code.
Bonus points
- Previous work on search/SEO analytics, marketing funnels, or ranking systems.
- Experience with vector databases (Weaviate, PGVector) and structured logging for LLM observability.
- Familiarity with privacy-preserving ML or reinforcement-learning-from-human-feedback.
What you'll get
- Green-field canvas to architect the AI layer of a category-defining product.
- Founders who ship code and remove blockers, not create them.
- Competitive salary + meaningful equity + quarterly offsites (NYC / TLV / Madrid).
Interview process
- 30-min fit call with a founder.
- 90-min live coding & architecture (bring a past system to dissect).
- Async take-home (≤3 hrs) – build a tiny RAG or UI slice; we pay for your time.
- Panel chat with team → culture & roadmap Q&A.
- Offer – reference check, comp chat, start date.
Interested in this role?
We'd love to hear from you. Apply now to join our growing team.
You can also email us directly at careers@xfunnel.ai