Senior Software Engineer, Backend (AI Agent Runtime)
Cresta is hiring a Senior Software Engineer, Backend (AI Agent Runtime) for a remote role open to applicants in Canada. Level rates it ; you can apply on Cresta.
Level's read on this job
- On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Vertex AI, RAG and LLM integration.
- Level classifies it as a senior role.
- Level lists 86 other open roles at Cresta.
AI in this role
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.
- 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.
- 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 recruiting@cresta.ai (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.
Recruiting impersonation scams: 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.
How we rate this
Senior Software Engineer, Backend (AI Agent Runtime) at Cresta rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What's a project where you used Vertex AI hands-on?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: RAG, LLM Integration, AI agents, and Vertex AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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