# Staff Backend Engineer – AI

**Company:** [Stream](https://hotfix.jobs/companies/stream)
**Location:** Amsterdam, Netherlands, Europe, Toronto, Canada
**Role:** ML Engineering
**Experience:** 7+ years
**Skills:** Python, Machine Learning, Supervised Fine-Tuning, Terraform, GCP, AWS, Go, Unsloth, Fireworks, Baseten, Data Pipelines, Asyncio, Model Serving, Open Source
**Posted:** 2026-08-24

> Own end-to-end development, evaluation, and production deployment of AI models serving high-volume real-time products. The role requires 5+ years of production Python experience, hands-on fine-tuning and ML operations, cloud infrastructure expertise, and strong technical ownership.

## Job Description

## Responsibilities
- Own development, fine-tuning, and evaluation of in-house AI models from dataset design through production deployment.
- Run supervised fine-tuning and post-training experiments; establish benchmarks and evaluation harnesses.
- Build and maintain training and evaluation data pipelines, including data quality, labeling, and reproducibility.
- Deploy models on Stream’s serving stack and optimize latency, cost, and reliability at high volume.
- Set technical direction for ambiguous AI problems and decide what to build, test, or abandon.
- Integrate models with Go-based API teams and infrastructure across the engineering organization.
- Contribute to open-source projects and share work through code, writing, or community engagement.
- Raise engineering standards through code review, mentorship, and pragmatic best practices.

## Requirements
- 5+ years of production-level Python engineering experience.
- Hands-on experience with supervised fine-tuning and post-training of models.
- Familiarity with fine-tuning and serving tools such as Unsloth, Fireworks, Baseten, or equivalent technologies.
- Experience with GCP or AWS, including infrastructure as code with Terraform.
- Experience operating ML-based products in production, including deployment, monitoring, retraining, and iteration.
- Experience designing and operating data pipelines for training and evaluation.
- Demonstrated ownership of ambiguous problems from definition through delivery.
- Strong communication skills and comfort working in a small, distributed, fast-moving team.

## Nice to Have
- Visible open-source contributions or maintained libraries.
- Experience with Go.
- Deep understanding of Python concurrency and asyncio limitations in high-throughput systems.
- Experience with real-time or low-latency inference systems.
- Experience as an early engineer, founder, or in a startup environment with an undefined roadmap.

## Compensation & Benefits
- 28 days paid time off plus paid Dutch holidays.
- Company equity.
- Pension scheme.
- Learning and Development budget.
- Commute expenses to Amsterdam covered or company bike option within the city.
- Fitness stipend.
- MacBook Pro.
- Healthy team lunches and snacks.
- Generous relocation package.
- Benefits are adjusted according to the employee’s location of residence.

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