Opportunity at
MotiveSenior AI Platform Engineer ( Enterprise Systems)
Motive's Enterprise Systems group in India is recruiting a Senior AI Platform Engineer. The engineer is an experienced practitioner who builds and ships working software and…
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About This Role
Motive's Enterprise Systems group in India is recruiting a Senior AI Platform Engineer. The engineer is an experienced practitioner who builds and ships working software and AI platforms in cloud settings that must stay dependable, secure, and economical. Responsibilities include designing applications and services, running inference platforms and data pipelines, and treating token consumption, GPU hours, and unused capacity as hard engineering limits. The engineer collaborates with product, engineering, and…
Job Description
Motive's Enterprise Systems group in India is recruiting a Senior AI Platform Engineer. The engineer is an experienced practitioner who builds and ships working software and AI platforms in cloud settings that must stay dependable, secure, and economical. Responsibilities include designing applications and services, running inference platforms and data pipelines, and treating token consumption, GPU hours, and unused capacity as hard engineering limits.
The engineer collaborates with product, engineering, and business partners to get working software out the door, improve uptime, and bring down the price of each unit of AI output. The role is on-site, and the posting does not state a salary.
The job covers four areas. One is building production services, interfaces, and APIs, and carrying each piece through implementation, testing, review, release, and ongoing care. Another is running AI workloads for retrieval-augmented generation, evaluation, tuning, model serving, and faster inference, and converting prototypes into reusable platform parts. A third is managing AWS or GCP estates built on Kubernetes and Terraform with CI/CD, including monitoring and incident handling. The last is tracking cloud and AI costs through attribution, budgets, and cuts.
Applicants need at least five years of professional experience running production systems, not just scripts or notebooks, and should be strong in Python plus a second language. Success is measured by production systems with defined service levels, stable reliability as GPU and cloud waste falls, and clear visibility into what each unit of AI value costs.
Responsibilities
- Build, ship, and maintain production services, APIs, and user-facing interfaces where needed
- Write maintainable Python plus a second language such as TypeScript/Node, Go, or Java
- Run production systems for retrieval-augmented generation, evaluation, tuning, serving, and inference speed
- Convert prototypes into reusable platform capabilities that include CI/CD, evaluation, and governance
- Design AWS or GCP environments using Kubernetes, Terraform, and pipelines for applications and models
- Own monitoring and incident response, and help with SOC 2 and SOX compliance plus least-privilege access
- Track cloud and AI spending by attributing costs, setting budgets, and cutting waste through GPU tuning, inference routing, model selection, and right-sizing
Requirements
- At least five years of professional software development, including ownership of production systems
- Track record delivering server-side services, API layers, and production AI or ML work covering LLMs, RAG, and model serving
- Strong Python and a second stack, with experience in PyTorch, TensorFlow, or comparable serving tools
- Practical experience in AWS or GCP environments that use Kubernetes, Terraform, and CI/CD
- A proven record of lowering or governing cloud and AI spend
- Clear explanation of technical and cost trade-offs, and accountability for what the engineer builds
Qualifications
- Full-stack experience with React or Next.js
- Experience with vector databases
- Inference optimization experience
- FinOps tooling experience
- Familiarity with SOX or SOC 2 controls
- Experience with Copilot or Cursor
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job based?
The posting lists India as the location and describes the role as on-site.
What experience is required?
At least five years of professional software development, including production system ownership, plus shipped backend services and production AI or ML work.
Does the posting list a salary?
No. The posting does not state a salary or pay range.
What is the employment type?
The position is full-time.
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