Skip to main content
Skip to content
BELTOConsulting

Careers

Senior Applied AI Engineer

Lead applied AI delivery for clients: system design, model selection and the engineering that makes it dependable in production.

Senior Applied AI Engineer work environment
Division
BELTO Consulting
Seniority
Senior
Location
Worldwide
Work mode
Remote
Type
Full-time
Compensation
$180,000–$235,000 per year
Deadline
Open until filled
Published
September 22, 2026
Status
Accepting applications

This is an active talent brief for work BELTO may staff as client demand and internal priorities require. Publication does not imply an existing team vacancy or a guaranteed hiring date.

This is a fully remote senior role in BELTO Consulting. You will work with a distributed team on consequential client and internal priorities. The work combines hands-on delivery, architecture decisions, peer review, documentation and direct collaboration with commercial and delivery colleagues. We value clear reasoning, secure defaults and systems that remain understandable as they scale. Success means improving the quality and speed of decisions, leaving durable operating assets, and communicating trade-offs before they become surprises. The selection process includes a structured conversation and a practical, role-relevant exercise. We do not use protected personal characteristics in hiring decisions.

Responsibilities

  • Design applied AI systems end to end, including retrieval, tool use, guardrails and fallback behaviour.
  • Choose between fine-tuning, prompting and conventional software, and justify the choice on cost and reliability.
  • Build the evaluation harness before the feature, so quality is measured rather than asserted.
  • Set inference cost and latency budgets and keep the system inside them.
  • Mentor engineers and review AI work across engagements.

Requirements

  • Senior experience shipping AI systems that real users depend on.
  • Depth in Python plus strong software engineering practice.
  • Clear reasoning about hallucination, evaluation and failure containment.
  • Ability to set expectations with clients about what the technology will not do.
  • Currently enrolled at, or holding a degree from, Stanford University or Harvard University.

Education eligibility

Applicants must be currently enrolled at, or hold a degree from, Stanford University or Harvard University. This is a BELTO hiring policy; neither university sponsors, endorses or partners in this recruitment.

Applicants must be currently enrolled at, or hold a degree from, Stanford University or Harvard University. This is an independent BELTO hiring policy; neither university sponsors, endorses or partners in this recruitment.

Apply for this role