Staff Backend Engineer – AI

Stream; Toronto; Hybrid; CAD 226,000 - 338,000; Full time

Benefits offered by this job

A team of exceptional engineers

OSS projects involvement

28 days paid time off + Dutch holidays

Company equity

Pension scheme

Learning and development budget

Commute expenses to Amsterdam covered

Fitness stipend

Monthly in-office chair massages

MacBook Pro

Healthy team lunches & snacks

Generous relocation package

Office in Amsterdam center

Job summary

Stream seeks a Staff AI Engineer to own end-to-end model development, from dataset design to production deployment, impacting products used by over a billion users. You will lead supervised fine-tuning, evaluation, and data-pipeline work, collaborating across Go-based APIs and infrastructure teams.

Location options include Amsterdam office or remote across Europe, with a hybrid policy requiring in-office presence three days a week for those based in the Netherlands or relocating there.

Qualifications

• 5+ years of production-level Python engineering experience.
• Hands-on ML experience with supervised fine-tuning and post-training.
• Familiarity with modern fine-tuning and serving toolchain (e.g., Unsloth, Fireworks, Baseten).
• Cloud experience with at least one provider (GCP or AWS) including IaC with Terraform.
• Experience running ML-based products in production: deployment, monitoring, retraining.

Responsibilities

• Own the development, fine-tuning, and evaluation of in-house AI models from dataset design through production deployment.
• Run supervised fine-tuning and post-training experiments with benchmarks and evaluation harnesses.
• Build and maintain data pipelines for model training, ensuring data quality and reproducibility.
• Take models to production on Stream's serving stack, tuning for latency, cost, and reliability at scale.
• Set technical direction for undefined problem spaces and decide what to build and test.
• Collaborate with Go API teams and infrastructure to integrate models into products.
• Contribute to OSS and share work publicly through code or writing.
• Raise engineering standards through code reviews, mentorship, and best practices.

Skills

Python

ML engineering

Fine-tuning

Go

Cloud (GCP/AWS)

Terraform

Data pipelines

Production ML

Job description

About Stream

Stream (GetStream.io)'s SDKs and APIs enable devs to build activity feeds, chat, and voice/video, powering over a billion end users worldwide. Trusted by top brands like Strava, Nextdoor, Patreon, and eBay, we're on a mission to make real-time communication and social experiences seamless for developers and their users.

We're also the makers of Vision Agents, the open-source Python framework for building low-latency voice and video AI agents: over 8k stars on GitHub, 35+ model integrations, and sub-500ms latency on our global edge network.

Role Overview

We're seeking a Staff AI Engineer to own model development on our AI team. You'll build, fine-tune, evaluate, and ship the models that run inside Stream's products, end-to-end, from dataset design through to production. As the technical owner, you will drive key decisions independently, shipping models that directly impact systems serving over a billion users.

Location: Office in Amsterdam or Remote (Europe). Occasional travel for in-person collaboration and meetups is encouraged.

Hybrid policy: applicants based in the Netherlands or relocating here, are expected to work in the office in Amsterdam 3 times per week. Exemptions apply to specific cases.

What will you work on

• Own the development, fine-tuning, and evaluation of in-house AI models from dataset design through to production deployment.




• Run supervised fine-tuning and post-training experiments, establishing the benchmarks and evaluation harnesses that tell us whether a model is actually good enough to ship.




• Build and maintain the data pipelines that feed model training, keeping data quality, labelling, and reproducibility to a high standard.




• Take models to production on Stream's serving stack, tuning for latency, cost, and reliability at high volume.




• Set the technical direction for an intentionally undefined problem space, deciding what to build, what to test, and what to abandon.




• Work across the wider engineering organisation, interfacing with Go-based API teams and infrastructure to get models integrated into the product.




• Contribute to the open-source ecosystem where relevant, and share work publicly through code, writing, or community engagement.




• Raise the bar on engineering standards across the AI team through code review, mentorship, and pragmatic best practices.

About You

• 5+ years of production-level Python engineering experience, with code you have shipped and maintained rather than only prototyped.




• Hands-on machine learning experience, specifically with supervised fine-tuning and post-training of models.




• Familiarity with the modern fine-tuning and serving toolchain, e.g. Unsloth, Fireworks, Baseten, or equivalents.




• Cloud experience with at least one major provider (GCP or AWS), including infrastructure-as-code with Terraform.




• Experience running ML-based products in production: not just training models, but owning them through deployment, monitoring, retraining, and iteration against real usage.




• Experience designing and operating data pipelines for training and evaluation; a data engineering background is a strong route into this role.




• Demonstrated ownership: a track record of picking up ambiguous problems and driving them to a result without waiting for direction.




• Strong communication skills and comfort working in a small, distributed, fast-moving team.

Preferred

• A visible open-source footprint: libraries you have authored or maintained, meaningful GitHub activity, or contributions to AI model repositories.




• Experience with Go (all of Stream's APIs use Go, so it helps when interacting with other teams).




• Deep understanding of Python's concurrency model and asyncio's limitations in high-throughput systems.




• Experience with real-time or low-latency inference systems.




• Experience as an early engineer or founder, or otherwise operating at startup pace with an undefined roadmap.

Why You'll Love This Role

• Genuine Ownership: You own model development end to end: approach, architecture, evaluation, and what ships. Not a slice of someone else's roadmap.




• Your Work Reaches Real Scale Immediately: Models go into production across products serving over a billion end users. You'll know quickly whether something worked, because real traffic will tell you.




• Small Team, Short Path: We're small enough that there's no layer between your decisions and their impact. If you want to test something, you test it—not build a case for it over two quarters.




• Peers Who Ship: The same AI team built Vision Agents from nothing into a framework thousands of developers rely on. You'll be working next to the people who did it.




• Flexibility & Trust: Choose your work style—join us in Amsterdam or work remotely across Europe—with periodic in-person collaboration.

What we have to offer you

Stream employees enjoy some of the best job benefits in the industry:

• A team of exceptional (and friendly) engineers




• The chance to work on OSS projects




• 28 days paid time off plus paid Dutch holidays




• Company equity




• A pension scheme




• A Learning and Development budget




• Commute expenses to Amsterdam covered or the option to use a company bike within the city




• Fitness stipend




• Monthly in-office chair massages by a professional




• MacBook Pro




• Healthy team lunches and plenty of snacks




• A generous relocation package




• An office in the heart of Amsterdam

Note: this list of job benefits applies to Netherlands-based employees and is adjusted per your location of residence.

Our culture

Stream has a casual social culture, our team is diverse and we all have different backgrounds. Now, Stream is a team of over 120 peers from over 35 countries across the globe.

We value transparency, aim for excellence, and support each other on our way to new victories.

Our team consists of the strongest talents worldwide, making Stream a great place to learn and improve your skills.

When it comes to software engineering jobs, our culture is oriented towards ownership and quality: our goal is to deliver stable software.

Hybrid office policy: applicants based (or relocating to) one of our office locations are expected to work according to the applicable local office attendance policy.

Equal opportunity employer statement: Stream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.