# Member of Technical Staff – AI Inference platform, features at Lyceum Technology

> Switzerland · Staff · Software engineering · open. Source: https://alderhq.app/jobs/personio%3Alyceum-technology%3A2572662 (read 2026-11-12).

## Facts (observed)

- Company: [Lyceum Technology](https://alderhq.app/companies/lyceum-technology)
- Location text: Zürich
- Where it can be done from (inferred): Switzerland (evidence: "Location: Zürich")
- Posted: 2026-03-22 (235 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://lyceum-technology.jobs.personio.de/job/2572662
- Skills listed (inferred): Python, Go, Kubernetes, Docker, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Zurich, n 7): p25 $98k, median $140k, p75 $143k

## Description (the employer's text)

### Your mission

You will expand the capabilities of Lyceum's AI inference platform, the first EU-sovereign inference cloud. You'll own the features that customers interact with directly: model serving configurations, API surface, framework integrations, and developer experience. This means understanding what customers need, building it fast, and making sure it works reliably at scale.

Your focus

- Feature development: Design and ship new platform capabilities - from supporting new model architectures and serving frameworks to building out API features that customers are asking for.

- Customer-facing engineering: Work closely with customers and the commercial team to understand real-world usage patterns, translate feature requests into technical designs, and iterate based on feedback.

- Developer experience: Improve the end-to-end experience of deploying and running inference on Lyceum, from initial setup through to monitoring and debugging in production.

Your KPIs

- Number of platform features shipped

- Time from customer request to feature availability

- Breadth of supported models, frameworks, and deployment configurations

### Your profile

We consider candidates from diverse backgrounds, with a deep love for technical challenges and the desire to take on ownership beyond what's reasonably expected. You're someone who stays close to the rapidly evolving open-source AI ecosystem and gets energy from turning emerging tools into production-grade platform capabilities.

Requirements

- 3+ years of experience in software engineering, with a focus on backend or infrastructure systems

- Strong proficiency in Go and Python

- Hands-on experience with at least one ML inference serving framework (vLLM, TGI, etc)

- Solid understanding of how large language models and other AI models are deployed and served in production

- Experience working with REST/gRPC APIs and designing developer-facing interfaces

Nice to have

- Familiarity with GPU scheduling, batching strategies, or inference optimisation (quantisation, speculative decoding, etc.)

- Experience with Kubernetes and container orchestration in a production setting

- Knowledge of AI model formats and conversion pipelines (GGUF, SafeTensors, ONNX)

- Background in developer tools, platform engineering, or API design

### Why us?

- Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities.

- Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world

- Ownership: Shape how European AI companies access GPU compute

- European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Alyceum-technology%3A2572662 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.