System Engineer - AI Engineer (100%) in Lausanne

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.What you'll doYou 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 bringMaster'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 haveGPU 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 offerFriendly 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. #J-18808-Ljbffr