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Open nowPosted 2 days ago

System Engineer - AI Engineer

job-room.ch86,007 open roles

Where
Prilly, VD, Switzerland
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Your applicationOpen nowSystem Engineer - AI Engineerjob-room.ch · Prilly, VD, Switzerland

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  4. 14.2%14 days
  5. 34.1%30 days
This job: posted 2 days ago

The posting

--- base: / meta-keywords: meta-viewport: width=device-width, initial-scale=1.0 title: System Engineer - AI Engineer (100%) ---

System Engineer \- AI Engineer (100%) =====================================

We are looking for a System Engineer — AI Engineer to integrate open\-source models and the surrounding ecosystem into production services running on\-prem in our datacenters.

You'll join an experienced and enthusiastic team with a great team spirit, where knowledge is shared rather than hoarded. The services are business\-critical, so the team shares a 24/7 on\-call rotation.

System Engineer \- AI Engineer (100%) =====================================

What you'll do

You own your solutions end to end — from understanding the business need to running them in production :

  • Analyse the need with stakeholders, challenge it, and turn it into a design that fits our constraints — then implement, test, document, and deliver.
  • Take ownership beyond the code: timelines, dependencies, communication with stakeholders, and the decisions that come with them.
  • Evaluate, select, and deploy open\-source models (LLMs, embeddings, rerankers, speech), and run the self\-hosted inference stacks behind them (vLLM, Ollama) with sane quantization, batching, and model routing.
  • Build the application layer — RAG pipelines, agents, tool calling, structured output — and own the data path behind it: ingestion, chunking, embeddings, vector stores, retrieval quality.
  • Build evaluation harnesses and benchmarks so model choices are measured, not guessed.
  • Integrate the ecosystem around the models: gateways, orchestration frameworks, model registries, observability and tracing.
  • Tune for latency, throughput, and GPU utilization; handle capacity planning, scheduling, and production monitoring — and debug regressions when a model or version changes.
  • Take part in the team's 24/7 on\-call rotation (piquet), with compensation and time off in lieu — and improve the runbooks, alerting, and automation so quiet evenings are the norm, not the exception.

What you bring

  • Master's degree in Computer Science or equivalent, with hands\-on experience working with LLM\-based systems.
  • System engineering experience on Linux and Kubernetes.
  • Strong ; comfortable with production practices (testing, CI/CD, code review).
  • Strong SQL skills.
  • Experience self\-hosting and serving open\-source models.
  • Working knowledge of retrieval, embeddings, and vector databases.
  • Hands\-on: not afraid of cabling a server or swapping a GPU.
  • Autonomy and a sense of ownership — you follow a topic through to delivery rather than handing it over.
  • Willingness to join a 24/7 on\-call rotation, and the temperament to stay methodical under incident pressure.
  • Pragmatism about open\-source tooling — able to tell a solid project from a hyped one.

Nice to have

  • GPU operations: drivers, CUDA, MIG, device plugins, scheduling on Kubernetes.
  • Inference optimization (TensorRT\-LLM, ONNX, speculative decoding, KV\-cache tuning).
  • Lightweight adaptation techniques (LoRA/QLoRA adapters on existing open\-source models).
  • Storage and networking design for AI workloads.
  • Experience with AI safety, guardrails, and responsible deployment practices.
  • Contributions to open\-source AI projects.

What we offer

  • Friendly and dynamic environment where proactivity and personal commitment are highly valued.
  • Competitive salary and benefits system, very attractive pension fund conditions.
  • Flexible working hours with 6 weeks of holidays.
  • Modern and ergonomic workplace.
  • Various fringe benefits.
  • Free mobile subscription and discounts on our products.
  • Possibility to widen your skills and experience due to a fast\-moving and complex telco environment.
  • A full open\-source AI stack running on\-prem in our datacenters — you own the hardware, not someone else's abstraction.

Always dreamed of having a job in a diverse and refreshing environment? Then we really need to meet. Please apply online (we only accept online applications with CV, employment references, diplomas).

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