DevRev
At DevRev, we re building the future of work with
Computer
your AI teammate. Computer is not just another tool. It s built on the belief that the future of work should be about genuine human connection and collaboration not piling on more apps.
Computer is the best kind of teammate: it amplifies your strengths, takes repetition and frustration out of your day, and gives you more time and energy to do your best work.
How
Easy: it s the only platform capable of
Complete data unification
Most AI products focus on either structured data (like CRM records and support tickets), or unstructured data (like documents and emails). Computer AirSync connects everything, unifying all your data sources (like Google Workspace, Jira, Notion) into one AI-ready source of truth: Computer Memory. Powerful search, reasoning, and action
Once connected to all your tools and apps, Computer is embedded in your full business context. It can find and summarize, sure. Even more impressive: it offers employees insights, strategic and proactive suggestions, plus powerful agentic actions.
Extensions for your teams and customers
Computer doesn t make you choose between new software and old. Its AI-native platform lets you extend existing tools with sophisticated apps and agents. So your teams and your customers can take action, seamlessly. These agents work alongside you: updating workflows, coordinating across teams, and syncing back to your systems. This isn t just software. Computer brings
people
back together, breaking down silos and ushering in the future of teamwork, through human-AI collaboration. Stop managing software. Stop wasting time. Start solving bigger problems, building better products, and making your customers happier.
We call this Team Intelligence. It s why DevRev exists.
Trusted by global companies across multiple industries, DevRev is backed by Khosla Ventures and Mayfield, with $150M+ raised. We are 650+ people, across eight global offices.
What You ll Do:
-
Architect the Future of AI Infrastructure:
You will design, build, and own the end-to-end platform that supports the entire lifecycle of our ML models from massive-scale distributed training to ultra-low-latency, highly-available inference. -
Optimize and Serve Cutting-Edge Models:
Youll implement and scale sophisticated inference stacks for LLMs using frameworks like vLLM, TensorRT-LLM, or SGLang
. You ll solve complex challenges in throughput, latency, token streaming, and automated scaling to deliver a seamless user experience. -
Empower AI Innovation:
You will act as a strategic partner to our AI Research and Data Science teams. You ll create a seamless developer experience that accelerates their ability to experiment, fine-tune, and deploy groundbreaking models with velocity and confidence. -
Automate Everything:
Youll develop robust CI/CD/CT (Continuous Training) pipelines using tools like Argo Workflows, ArgoCD, and GitHub Actions
to automate model validation, deployment, and lifecycle management, ensuring our systems are both agile and rock-solid.
What are we looking for
-
Experience:
5+ years in infrastructure or software engineering, with at least 2+ years laser-focused on MLOps or ML infrastructure for large-scale distributed systems. -
Education:
A Bachelor s or Master s degree in Computer Science, Engineering, or a related field. -
Kubernetes & Cloud Native Expertise:
Deep, hands-on expertise with Kubernetes
in production. You are fluent in the cloud-native ecosystem, including Helm, ArgoCD, and Argo Workflows
. -
GPU & Cloud Mastery:
Optimize the platform s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. -
Modern LLM Serving Experience:
Hands-on experience with modern LLM inference serving frameworks (e.g., vLLM, SGLang, Triton Inference Server, Ray Serve
). You understand the unique challenges of serving generative models. -
Strong Coder:
Strong programming proficiency in Python
or Go
, with experience using ML frameworks like PyTorch
, Jax
, TensorFlow
. -
Observability Mindset:
A passion for building observable and resilient systems using modern monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry).
We would love to see:
- Deep performance optimization skills, including writing
custom inference kernels in CUDA or Triton
to accelerate model performance beyond what off-the-shelf frameworks provide. - Experience with model optimization techniques like
quantization, distillation, and speculative decoding
. - Exposure to training and serving
multi-modal models
(e.g., text-to-image, vision-language). - Knowledge of
AI safety and evaluation frameworks
for monitoring model performance for things like bias, toxicity, and hallucinations.
Culture
The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers.
That is DevRev!
