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 Python; 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).**

j4id10417507a j4it0940a j4iy26a