SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Motive is seeking a Senior AI Platform Engineer to design, build, and operate production AI systems and cloud infrastructure. You will ship production software and AI systems on reliable, secure, and cost-disciplined cloud infrastructure, partnering with product, engineering, and business stakeholders to deliver working software, higher reliability, and lower cost per unit of AI value.
Key responsibilities include:
**Software Development**
- Design, build, and ship production services, APIs, and user-facing interfaces
- Own the full lifecycle: implementation, tests, code review, CI/CD, deployment, and maintenance
- Write maintainable code in Python plus one additional stack (TypeScript/Node, Go, or Java)
**AI Engineering**
- Build and operate production AI systems including RAG, evaluation, fine-tuning, serving, and inference optimization
- Transform prototypes into reusable platform capabilities with CI/CD, evaluation, and governance
**Cloud Infrastructure**
- Architect AWS/GCP environments with Kubernetes, Terraform, and CI/CD for applications and model pipelines
- Own observability and incident response; partner on SOC 2/SOX compliance 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 capacity
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. The platform serves nearly 100,000 customers across transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
**Requirements**
- 5+ years of professional software development, owning production systems (not only scripts or notebooks)
- Shipped backend services/APIs and production AI/ML systems (LLMs, RAG, serving)
- Strong Python plus a second stack; PyTorch, TensorFlow, or equivalent serving experience
- AWS or GCP with Kubernetes, Terraform, and CI/CD
- Proven track record reducing or governing cloud/AI spend
- Clear communication of technical and cost tradeoffs; you run what you build
**Preferred**
- Full-stack development (React/Next.js)
- Vector databases
- Inference optimization
- FinOps tooling
- SOX/SOC 2 experience
- Copilot/Cursor proficiency
