AI

AI/ML Engineer

Design and productionise LLM workflows, fine-tuning pipelines, and real-time inference APIs powering our smart-automation features.

Remote Full-time · Remote Mid-Senior Closes October 22, 2026
The Role

About the AI/MLEngineer role

Design and productionise LLM workflows, fine-tuning pipelines, and real-time inference APIs powering our smart-automation features.

Department
AI
Location
Remote
Type
Full-time
Arrangement
Remote
Experience
Mid-Senior
Applications close
Oct 22
The Work

What you'llown

The day-to-day of this role, stated plainly — no hidden scope.

Architect and ship LLM-powered product features end-to-end
Build and maintain RAG pipelines, vector stores, and embedding workflows
Fine-tune open and closed-source models on domain-specific data
Optimise inference latency and cost for production workloads
Design evaluation frameworks to measure AI output quality
Stay current with rapidly evolving model capabilities and apply them pragmatically
Requirements

What we're lookingfor

Meet most of these and we'd still like to hear from you — this is a bar, not a checklist.

3+ years of ML engineering experience with production deployments
Hands-on experience with LangChain, LlamaIndex, or equivalent frameworks
Proficiency in Python, FastAPI, and async patterns
Experience with vector databases (Pinecone, Weaviate, pgvector)
Strong understanding of prompt engineering and RLHF concepts
Bonus

Nice tohave

None of these are required. They're the things that would make an already-strong application stand out.

Fine-tuning experience with Mistral, LLaMA, or similar OSS models
Background in NLP or classical ML
Experience with Kubernetes-based inference serving
Publications or open-source AI projects
Benefits & Perks

Work in a placeworth caring about

We invest in our people first, because everything else follows.

Brand Hub

Health & Wellness

Full medical, dental, vision coverage + monthly wellness stipend.

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Flexible Schedule

Async-first culture. You own your calendar and your output.

Brand Hub

Remote-Friendly

Work from anywhere. We have hubs in SF, London, and Tokyo.

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Learning Budget

$2,000/year for courses, conferences, and books — no approval needed.

Brand Hub

Equity Participation

Competitive equity packages so you share in what you build.

Brand Hub

Team Retreats

Twice-yearly company retreats in great locations.

Brand Hub

Job Security

We hire deliberately and back our team through hard times.

Brand Hub

Collaborative Culture

Small squads, zero politics, huge ambition.

Recruitment Process

What to expectafter you apply

Six steps, and we tell you where you stand at each one.

01

Application

You submit your details, resume, and a short note on why this role fits.

02

Initial Review

We review every application against the role's requirements within 5 business days.

03

Interview

1–3 conversations with the hiring manager and future teammates.

04

Assessmentif required

A practical exercise for some roles — always scoped, always paid if lengthy.

05

Final Decision

A clear yes or no, with feedback either way, followed by an offer if it's a fit.

06

Onboarding

A structured 30-60-90 day plan gets you shipping from week one.

Apply

Apply for AI/MLEngineer

We review every application and reply within 5 business days.