Careers — Towards AI
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We’re hiring

Build AI tools that get used.

Open roles

RoleLocationApply
Junior AI EngineerGrow inside a serious AI engineering team, working with our senior engineers on production LLM systems.London · In person · Full-timeApplyarrow_forward
Senior AI Engineer / FDEOwn the architecture, build, evaluation and production rollout of custom AI systems.London · In person · Full-timeApplyarrow_forward
Deployment StrategistOwn AI deployment engagements from the first scoping conversation to a live system the client’s team runs without us.London · In person · Full-timeApplyarrow_forward
Technical Lead, Platform & SecurityLead full-stack delivery, cloud operations and security.London · In person · Full-timeApplyarrow_forward
Discover Towards AIarrow_outward

Join a team of engineers, investors, operators, and ex-founders

J.P. Morgan
Palantir
BCG
SAP
Aurelius
MILA
The opportunity ahead

The real AI opportunity is in the mid-market, not the Fortune 500.

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SME economics

AI has the biggest impact in SMEs.

Large enterprises run at high efficiency with ‘fortified’ IT and slow procurement. SMEs have obvious bottlenecks and short feedback loops. The marginal impact of every AI deployment is not only bigger, you see it in the P&L.

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Repeatable playbooks

SMEs share the same bottlenecks.

Procurement, document workflows, sales pipeline triage, customer service. We’ve built playbooks for each. Every new engagement compounds on the last.

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PE as adoption driver

Adoption is structural, not nice-to-have.

Inside PE-backed portcos, weekly operating cadences, focused KPIs, and CEO incentives ensure tools we build actually get used. The work ships and gets adopted by design.

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No legacy drag

You’ll work at the frontier — shaping new playbooks with the latest technology.

We don’t maintain a long-lived product platform. Each engagement is a fresh deployment, so you’re using the best AI tooling and defining the most effective use case every time.

Open role · London · Full-time

Deployment Strategist

Own AI deployment engagements from the first scoping conversation to a live system the client's team runs without us.

Who you are
  • Typically 5+ years in strategy consulting, private equity, product or customer-side engineering
  • Ownership of client relationships and outcomes
  • Something shipped with Claude Code, Codex, Cursor or an equivalent in the last three months
What you will do
  • Scope engagements with leaders and end users
  • Write proposals and PRDs; build pre-sales demos and POCs
  • Run delivery, adoption and renewal, usually across two engagements at a time
Level and growth
  • Own engagements and the proposals behind them
  • Build PE and finance playbooks and reusable AI assets
  • Grow into portfolio-wide programmes and the renewal book

Read the full role and apply

Open role · London · Full-time

Senior AI Engineer / Forward Deployed Engineer

Own technical delivery from architecture through build, evaluation, hardening and production rollout.

Who you are
  • Typically 5+ years of software engineering, including 2+ building production LLM applications
  • At least two shipped AI systems beyond simple chat
  • Expert daily use of coding agents, with strong Python and production judgment
What you will do
  • Own the codebase, engineering plan and AI architecture
  • Build agentic systems, retrieval, multimodal analysis and workflow automation
  • Deliver evals, guardrails, cloud deployment and observability
Level and growth
  • Mentor engineers and ship reusable firm assets
  • Work forward deployed on the largest engagements
  • Grow into portfolio-wide technical leadership or a platform and security remit

Read the full role and apply

Open role · London · Full-time

Technical Lead, Platform & Security

Lead full-stack delivery, cloud operations and security, and be the technical counterpart for client IT and security teams.

Who you are
  • Typically 10+ years in enterprise software with ownership of production systems
  • Strong Python and production TypeScript; application and cloud security
  • Experience integrating with enterprise IT estates and leading technical discussions
What you will own
  • Full-stack products, enterprise integrations and technical planning
  • Cloud operations, monitoring, incident response and tested recovery
  • Security improvements, architecture documentation and procurement reviews
How you will work
  • Report to the co-founders; work in person in London
  • Use coding agents daily with intelligent supervision
  • Partner with AI engineers who lead on models, retrieval and evaluation

Read the full role and apply

What you get

Why this team.

Globally distributed, headquartered in London.

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Education and deployment, one firm

200k+ newsletter readers. 100k+ community members. 500k+ practitioners taught since 2019. Our book is used inside enterprise AI teams; our courses run on O’Reilly. The path runs community → Learning → Deployment pod: you join the pods that own real systems end to end.

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The people

Our team has a breadth of experience across leading companies, having seen the PE value-creation and AI tool-building process end-to-end.

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Latest tools, always

No legacy platform to maintain. Every project uses the best AI tooling available at the time of building.

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Proven playbooks

We've shipped AI inside multiple PE portcos. We know what moves the needle and what doesn't.

How recruitment works

Two to three rounds.

Two to three rounds depending on the role, 45 minutes each. We aim for about three weeks from first conversation to offer.

01

Conversation with two co-founders

45 min

Talk about what you have built and how you build with AI.

02

Take-home case and debrief

Case capped at five hours

Deliver a repo, then present it in a debrief. No live coding tests.

03

Live case or workshop

Strategists and enablement leads

In our London office where possible.

04

Offer

Co-CEO call

Subject to two references and right to work.

FAQs

Frequently asked questions.

We try our best to answer every question within a few days. Unfortunately we receive more emails than we have time to review, so please have a look below first; we’ve covered the most common questions. If yours isn’t answered here, do send it through afterwards.

Does Towards AI use AI to assess job applicants?
No, we don’t. Every application is read by a real person on our team. We think that’s the right thing to do, especially for an AI company. The work matters too much to outsource the first impression of you to a model.
When should I expect to hear back after I apply?
We aim to reply to everyone within a week, one way or the other. Sometimes it takes a little longer when we’re working through a wave of applications. If you haven’t heard from us by then, please don’t hesitate to nudge us.
Can I apply for more than one open role?
Our open roles are Junior AI Engineer, Senior AI Engineer / FDE, Deployment Strategist, and Technical Lead, Platform & Security. Pick the one that feels most like you, and apply there. If we think the other role might suit you better, we’ll bring it up during the process.
Does Towards AI give application or interview feedback?
If you make it to the interview stage and things don’t work out, we’ll do our best to share useful thoughts within a few days. We genuinely wish we could give feedback to everyone who applies, but the volume makes that impossible. We’d rather be honest about that than promise something we can’t deliver.
Can I reapply if I was unsuccessful the first time?
Yes, though we’d gently suggest waiting at least a year before reapplying for the same role. If we come across a different opening that feels like a better fit for your background, we’ll reach out. Following our team on LinkedIn and X is the best way to catch new roles as they open.
Does Towards AI pay for travel costs for on-site interviews?
Most of our interviews happen over Google Meet or Zoom, so travel usually isn’t needed. On the rare occasion we invite you to meet in person, we’re happy to cover reasonable travel and accommodation. Just let us know what you need.
I’m a recruiter. Can I help Towards AI find more talent?
Thanks for the offer, and we mean that genuinely. For now we’ve built our own trusted networks for hiring, so we rarely need external support. If that changes, we work with a small list of preferred partners that we review regularly.
How to apply

Ready to build?

Pick the role that fits you best and apply through the form on its page. We read every application and reply within a week.