Solutions Engineer

If you’re bored of “AI” that’s just a chatbox on top of GPT, this is for you. This could be your chance to work on a platform used by PE funds, insurers, and other high‐stakes teams to actually automate work on millions of documents – real workflows, not cool demos that die in slide decks.

We’re looking for an AI Solutions Engineer who loves three things:

  1. Writing python
  2. Untangling messy business problems
  3. Getting stuff into production.

You’ll sit in the thick of it – pre‐sales, build, and post‐sales expansion – alongside sales, product and founders.

What you’ll actually do

  • Jump into late‐stage deals and help figure out “what are we really solving here?”
  • Design and build multi‐step, deterministic agents with humans in the loop where it matters
  • Wire everything up: APIs, CRMs, spreadsheets, inboxes – whatever the customer actually uses
  • Write Python to do the glue work: transforming schemas, running proprietary models, stitching weird edge cases together
  • Keep 8–10 projects moving at once, making smart trade‐offs, not perfect architecture diagrams

Some flavour of projects

  • A PE fund that gets ~300 pitch decks/reports a week – the team you would be joining helped them auto‐extract the numbers, run their LBO models in Python, and ship a partner‐ready deck every week
  • Underwriting workflows that need full audit trails back to the original docs
  • Real estate teams who want to ask a question about thousands of leases and get an answer – with citations – in seconds

You might be a fit if

  • You write solid Python and actually enjoy debugging ugly real‐world data and integrations
  • JSON, APIs and webhooks are just part of how you think about systems
  • You’ve built data/ML/automation workflows before and can roughly sketch how they fit together

This is not for you if

  • You want a pure research role or just to fine‐tune models all day
  • You hate talking to customers, or need a fully scripted playbook

What you get

  • A front‐row seat in one of the more interesting corners of applied AI
  • A tight Solutions Engineering team in London that actually likes being in the office together
  • A role where what you build is live, used, and directly tied to revenue and renewal

FAQ's

Salary: £80 000 - £110 000 + Equity + Bonus

Office: In Soho

Days in the office: 3 days week (most of the team do 4 as they like working together)

If this sounds like you and you want to know more, send an email to oliver@seekr.inc with “Solutionize Is Not A Word” in the subject line. Include a CV if you have one ready, otherwise a LinkedIn profile and 3-4 lines in your own words as to why this role sounds interesting.

All applications received as above will be reviewed by a human (me) and will get feedback.

LinkedIn applications may not all be reviewed due to volume and lack of relevance.

Job Details

Company
SEEKR
Location
City of London, London, United Kingdom
Posted