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).