Expertise

Two specialisms. No sector list.

A recruiter covering eleven industries is guessing in all of them. We cover AI and software engineering, which is why our screens hold up in front of your staff engineer.

01 — Specialism

AI & Machine Learning

The core of the practice. ML engineering, data science, GenAI, LLM and Agentic AI work, plus the MLOps and platform roles around them — where resume inflation is highest and a generalist recruiter genuinely cannot tell depth from vocabulary.

  • ML engineers
  • Data scientists
  • GenAI / LLM engineering
  • Agentic AI engineers
  • Multi-agent systems
  • MLOps / LLMOps
  • AI platform & infrastructure
  • Applied scientists
  • Forward-deployed engineers
  • AI infrastructure

02 — Specialism

Software Engineering

The engineering around the models — backend and distributed systems, data and platform infrastructure, and the product engineering built on top.

  • Backend
  • Platform & infrastructure
  • Data engineering
  • Cloud
  • DevOps & SRE
  • Full-stack
  • Frontend
  • Security

Seniority

Both tracks, end to end.

Most firms pick an end of the ladder — volume junior hiring or executive search. Running both is why the firm that placed your senior engineer already understands the team when you need the manager above them.

AI & Machine Learning

individual contributor6 levels
AI EngineerEarly career
Senior GenAI / LLM EngineerIndependent ownership
AI Platform EngineerInfra & tooling at scale
Forward-Deployed EngineerEmbedded with the customer
Staff AI EngineerTechnical depth
Principal AI EngineerCross-team scope
leadership5 levels
AI Tech LeadHands-on leadership
AI Engineering ManagerTeam ownership
Senior AI Engineering ManagerMultiple teams
Director of AI EngineeringFunction ownership
VP of AI EngineeringExecutive

Software Engineering

individual contributor6 levels
SDE 1Early career
SDE 2Core delivery
SDE 3Independent ownership
Senior engineerTechnical depth
Staff engineerCross-team scope
Principal engineerOrg-wide impact
leadership5 levels
Tech leadHands-on leadership
Engineering managerTeam ownership
Senior engineering managerMultiple teams
Director of engineeringFunction ownership
VP EngineeringExecutive
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