Production ownership
Engineering principle
Take responsibility for reliability from the first decision through deployment and review.
Own the outcome
Careers at TRL AI
Someone is watchingbecause your code works.
Build the intelligence behind cameras people trust when it matters.
Your work moves from an engineering decision to a live camera site—where reliable detection, contextual verification, and a clear alert trail help real teams act.
People
Small teams. Production work.Evidence over hype.
Evidence over assumptions
Product principle
Use reviewable system behaviour and documented results to guide product decisions.
Stay accountableClear communication
Operating principle
Share decisions, constraints and next steps directly so teams can act with context.
Keep context visible
How we hire
A documented process.Clear next steps when available.
- 01
Application acknowledgement
An acknowledgement is sent immediately after a successful submission.
- 02
Initial review
The recruitment team targets an initial review within 3–5 working days.
- 03
Interview process
Any interview, assessment and timing requirements are communicated directly to shortlisted applicants.
- 04
Decision
The final outcome is communicated using the contact details supplied with the application.
Talent-network submissions may be considered for future roles, but do not guarantee contact or employment.
Current opportunities
Find the workyou want to own.
Published openings are controlled by the TRL AI operations team. Review the complete role and apply through your secure account.
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What we offer
Specific benefits.No filler.
Production ownership
Own work from decision to deployment and see how it behaves on real sites.
Focused team
Small working groups, direct decisions, and fewer layers between idea and outcome.
Flexible rhythm
Hybrid work designed around deep engineering and the needs of field operations.
Learning budget
Support for technical material, tools, and learning tied to the work you own.
Clear growth
Visible expectations, direct feedback, and advancement based on demonstrated impact.
Responsible pace
Urgency when it matters, without making constant urgency the operating model.
Your work should leavea visible signal.
At TRL AI, every role connects to the reliability of a real monitoring and response system.
See where you fit