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
London Area, United Kingdom
Posted