Staff Backend Engineer – AI at Stream
May no longer be active — verify on the employer site
At a glance
- Company
- Stream
- Location
- Netherlands
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Stream job
- 🏢 Stream has 6 jobs here, 5 with visa sponsorship see all
- 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide
- 💡 No salary shown. Ask Stream if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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About the role
Responsibilities:
- Own end-to-end model development: dataset design, supervised fine-tuning, post-training experiments and evaluation harnesses.
- Build and maintain high-quality data pipelines for training, labelling and reproducibility.
- Deploy models to production and optimise serving for latency, cost and reliability at scale.
- Define technical direction for ambiguous problem spaces and make pragmatic trade-offs on what to build and ship.
- Collaborate with API, Go, and infrastructure teams to integrate models into product systems and global edge serving.
- Raise engineering standards via code review, mentorship and sharing work with the community/open-source when relevant.
Requirements:
- 5+ years of production-level Python engineering with shipped, maintained code (not just prototypes).
- Hands-on ML experience, specifically supervised fine-tuning and post-training workflows.
- Familiarity with modern fine-tuning and serving toolchains (e.g., Baseten, Fireworks or equivalents).
- Cloud experience (GCP or AWS) and infrastructure-as-code (Terraform) for deployment and infra management.
- Experience running models in production: monitoring, retraining, latency tuning and cost/reliability trade-offs.
- Strong systems and distributed-systems experience for low-latency, high-volume inference pipelines.
Responsibilities
You will own the end-to-end development, fine-tuning, and production deployment of in-house AI models. Additionally, you will build data pipelines and collaborate with engineering teams to integrate models into high-volume products.
Requirements
The role requires 5+ years of production-level Python engineering experience and hands-on machine learning expertise. Candidates must have a track record of owning ML products through deployment and iteration.
Key skills
- Python — in 1173 other listings on The Stack
- Machine learning — in 285 other listings on The Stack
- Supervised fine-tuning — in 2 other listings on The Stack
- Post-training — not in any other listing on The Stack
- Model deployment — in 10 other listings on The Stack
- Data pipelines — in 113 other listings on The Stack
- Cloud infrastructure — in 113 other listings on The Stack
- GCP — in 168 other listings on The Stack
- AWS
- Terraform
- Go
- Asyncio
- Low-latency inference
- Model evaluation
- Distributed systems
On The Stack (as of 2026-11-03)
Frequently asked questions about Stream
Is this Staff Backend Engineer – AI role still open?
It was posted on 2026-08-24. Listings more than 30 days old may no longer be active, so check Stream's site before applying.
Does Stream offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Stream's site.
Where is this role located?
The listing gives the location as Netherlands. It is marked on-site.
What skills does this role ask for?
The listing names: Python, Machine learning, Supervised fine-tuning, Post-training, Model deployment, Data pipelines, Cloud infrastructure, GCP, AWS, Terraform, Go, Asyncio, Low-latency inference, Model evaluation, Distributed systems.