Motive
via Greenhouse
Senior AI Platform Engineer ( Enterprise Systems)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 6h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-11). Last seen at its source 1h ago.
Is it remote?
India - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 3d ago · last seen 1h ago
The listing
Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the Role
Senior engineer who ships production software and AI systems on cloud infrastructure that is reliable, secure, and cost-disciplined. You design applications and services, operate inference platforms and pipelines, and treat unit economics (tokens, GPU-hours, idle capacity) as engineering constraints.
You partner with product, engineering, and business stakeholders to deliver working software, higher reliability, and lower cost per unit of AI value.
What You Will Do
Software development
- Design, build, and ship production services, APIs, and (where needed) user-facing interfaces.
- Own the full lifecycle: implementation, tests, code review, CI/CD, deploy, and maintenance.
- Write maintainable code in Python plus one more stack (TypeScript/Node, Go, or Java).
AI engineering
- Build and operate production AI systems: RAG, evaluation, fine-tuning, serving, and inference optimization.
- Turn prototypes into reusable platform capabilities with CI/CD, eval, and governance.
Cloud infrastructure
- Architect AWS/GCP environments with Kubernetes, Terraform, and CI/CD for apps and model pipelines.
- Own observability and incident response; partner on SOC 2/SOX and least-privilege IAM.
Cost control
- Treat cloud and AI spend as an engineering problem: visibility, attribution, budgets, and reduction.
- Optimize GPUs, inference routing, model choice, and right-sizing; track cost per request/token and GPU idle.
What We're Looking For
Required
- 5+ years of professional software development, owning production systems (not only scripts or notebooks).
- Shipped backend services/APIs and production AI/ML (LLMs, RAG, serving).
- Strong Python plus a second stack; PyTorch, TensorFlow, or equivalent serving.
- AWS or GCP with Kubernetes, Terraform, and CI/CD.
- Proven work reducing or governing cloud/AI spend.
- Clear communication of technical and cost tradeoffs; you run what you build.
Preferred
- Full-stack (React/Next.js), vector databases, inference optimization, FinOps tooling, SOX/SOC 2, Copilot/Cursor.
What Success Looks Like
- Production software and AI with SLOs and real ownership — not demos.
- Reliability stays high while GPU and cloud waste trends down.
- Cost per unit of AI value is visible and improving; teams reuse libraries, IaC, and cost guardrails.
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.