Senior Software Engineer, Backend (AI Platform)

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified (Base salary, equity, and benefits included)

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.

Responsibilities

• 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.

Requirements

• 5+ years writing production software
• 2+ years focused on ML platform or infra
• Expert Python: (async, typing, packaging, performance)
• Working knowledge of Golang 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

• Medical, dental, and vision plans
• Paid parental leave
• Monthly Health & Wellness allowance
• Work from home office stipend
• Lunch reimbursement (for in-office employees)
• PTO: 3 weeks in Canada

Compensation

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.