Build With Us at Tensorplay
At Tensorplay, we're building the infrastructure and tooling that makes enterprise AI actually work. Our engineers work on genuinely hard problems — from optimizing transformer inference latency to designing fault-tolerant multi-agent systems that run at scale. We're a remote-first team that values deep technical work, honest feedback, and shipping things that matter. If you're passionate about AI that actually works in the real world — not just on benchmarks — we want to talk.
Why engineers love working here
We believe the best work happens when talented people have the freedom, support, and tools to do their best. Here's what a career at Tensorplay looks like.
Competitive Compensation
Market-leading salaries and performance bonuses tied to project outcomes and company growth.
Fully Remote
Work from anywhere in the world. Our team is distributed across the globe — async-first culture.
Flexible Hours
We care about output and impact, not hours at a desk. Manage your own schedule around the work that matters.
AI-First Tooling
Access to cutting-edge GPUs, the latest models, and an annual learning budget for courses, conferences, and research papers.
Health & Wellbeing
Comprehensive health insurance for you and family, mental health support, and generous leave policies including paid parental leave.
Career Growth
Work directly with founders and senior engineers on high-impact AI projects. Regular reviews, mentorship, and a clear path to leadership roles.
Open Positions
We're a small, focused team — every hire matters. We look for people who
are curious, rigorous, and excited to push the boundaries of what AI can do in production.
Backend Engineer (AI Systems)
We need a Backend Engineer who can build high-performance APIs and data systems that sit at the heart of AI-powered applications — handling authentication, orchestration, streaming, and scale.
- Full Time
- Remote (India preferred)
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AI Research Engineer
We're looking for an AI Research Engineer who can read papers on Monday and implement production experiments by Friday. You'll evaluate emerging techniques, run ablations, and translate the best ideas into client solutions.
- Full Time
- Remote
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Machine Learning Engineer
We're looking for an ML Engineer to help us take AI models from experiment to production. You'll work across the full ML lifecycle — training, evaluation, optimization, and deployment.
- Full Time
- Remote (India preferred)
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MLOps Engineer
We're looking for an MLOps Engineer to own the infrastructure layer of our AI deployments — from CI/CD pipelines for model releases to autoscaling GPU clusters and real-time monitoring dashboards.
- Full Time
- Remote
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Ready to scale your AI from 'Demo' to 'Deployed'?
Contact UsStop settling for prototypes that break under pressure. Join forces with Tensorplay to harden your infrastructure, optimize your models, and deliver enterprise-grade AI experiences that actually perform.