Senior Software Engineer, Backend (AI Agent Runtime)

FDE Times; Canada; Remote; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Parental leave

Health & Wellness allowance

Remote work stipend

Lunch reimbursement

PTO: 3 weeks in Canada

Job summary

Cresta is seeking a senior software engineer in Canada to design and operate real-time AI agent infrastructure, delivering low-latency runtimes for voice and chat agents and a serverless-style function platform. You will own session management and multi-channel support in a Kubernetes-based environment.

You will build developer tooling, CLI tools, SDKs, and local dev environments, improve production observability, on-call readiness, and code quality, and mentor others as part of a collaborative,

Qualifications

• 5+ years of software engineering experience.
• Strong Python and Go proficiency with focus on infrastructure, platform, or systems work.
• Experience with distributed systems concepts such as consistency and fault tolerance.

Responsibilities

• Build real-time AI agent infrastructure and low-latency runtimes.
• Solve distributed session management and crash recovery across scaled-out workers.
• Develop a serverless-style function execution platform with orchestration and autoscaling.
• Create developer tools, CLIs, and testing frameworks to speed engineering cycles.
• Improve production quality through observability and incident response.

Skills

Python

Go

Distributed systems

Kubernetes

Cloud-native infra

Developer tooling

Communication

Testing & code review

On-call

AI/LLM workflows

Tools

CLI tools

SDKs

Local dev environments

Internal platforms

Job description

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

About the role

• Build real-time AI agent infrastructure: Design and operate the stateful, low-latency runtime that powers voice and chat AI agents — from LLM streaming and conversation state management to graceful recovery and multi-channel support.
• Solve distributed systems problems: Own session management across scaled-out workers — including affinity, checkpointing, crash recovery, and consistency under concurrent access.
• Build a function execution platform: Own a serverless-style runtime where customers deploy custom logic — build orchestration, container lifecycle, autoscaling, and versioned rollouts.
• Own developer experience and test infrastructure: Build CLI tools, local development environments, and test execution frameworks that let engineers iterate quickly and ship with confidence.
• Raise the bar on production quality: Drive observability, incident response, and engineering best practices across the team.

What we’re looking for

• 5+ years of software engineering experience, with meaningful time spent on infrastructure, platform, or systems work.
• Strong Python and Go — both are core to this role, not one primary and one secondary.
• Deep understanding of distributed systems: consistency, fault tolerance, state management, concurrency.
• Experience with Kubernetes and cloud-native infrastructure.
• Experience building developer-facing tooling — CLIs, SDKs, local dev environments, or internal platforms.
• Strong communicator who can drive technical decisions, write clear design docs, and mentor others.
• High bar for code quality — thorough testing, thoughtful code review, and sustainable engineering practices.
• Comfort operating what you build — on-call, incident response, and production ownership.
• AI-native workflow — you actively use LLMs and AI-assisted tools in your daily development, and can leverage them to move faster and tackle problems that would otherwise be impractical.

Nice-to-haves

• Experience with real-time voice or streaming media systems.
• Hands-on with LLM integration — streaming inference, prompt orchestration, retrieval-augmented generation.
• Experience building serverless or function-as-a-service platforms.
• Workflow engines (Temporal, Argo, Airflow) for durable, long-running processes.
• Experience in conversational AI or speech domains.
• Infrastructure-as-code and GitOps workflows.

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.

Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact [e-mail] (if you are opting out, please use the subject ‘Opt-Out’ in your email).

Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.