Senior Software Engineer, Backend (AI Platform)

The Rundown AI, Inc.; Toronto; Remote; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a skilled ML Platform Engineer to lead the development of cutting-edge machine learning solutions. In this exciting role, you'll design and maintain robust serving stacks for ML models, automate training pipelines, and optimize systems for performance and cost efficiency. You'll work with a team of talented engineers to create reusable tools that empower product teams, all while contributing to a culture of rigorous testing and continuous delivery. If you're passionate about AI and want to shape the future of work, this opportunity is for you.

Benefits

Medical, dental, and vision plans

Paid parental leave

Monthly Health & Wellness allowance

Work from home office stipend

Lunch reimbursement

3 weeks PTO in Canada

Qualifications

• 5+ years of experience in production software development.
• Expertise in Python and knowledge of Golang.
• Experience with ML serving frameworks and Kubernetes.

Responsibilities

• Design and maintain low-latency ML model serving stacks.
• Automate training pipelines with solid MLOps practices.
• Optimize system performance and resource usage.

Skills

Python

Golang

Kubernetes

Distributed Systems

ML Platform

MLOps

Tools

Terraform

Helm

vLLM

Triton

TorchServe

Job description

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

• Own model serving:Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners.
• Automate training pipelines:Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices.
• Optimize at scale:Profile and tune throughput, memory, and cost; introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off.
• Build platform primitives:Create reusable SDKs, templates, and CLI tools that let research and product teams ship models independently and safely.
• Raise the bar:Instrument deep observability (tracing, metrics, alerts), drive blameless post-mortems, and mentor engineers on production ML best practices.

What we’re looking for

• 5+ years writing production software; 2+ years focused on ML platform or infra.
• Expert Python (async, typing, packaging, performance).
• Working Golang knowledge for systems components.
• Proven experience with one or more serving frameworks (e.g., vLLM, Triton, TorchServe).
• Kubernetes and cloud-native ops.
• Solid grasp of distributed systems, networking, and container security.
• Culture of rigorous testing, code review, and continuous delivery.

Nice-to-haves

• Hands-on with large language models or real-time streaming inference.
• Terraform, Helm, or similar IaC tooling.
• Experience in speech or conversational AI domains.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain.Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to [e-mail]