AI Engineer

Role overview Build and operate AI systems that use multiple agents to reason, plan, and carry out tasks. The work spans retrieval-augmented generation, model serving, evaluation, security, and production deployment, with close collaboration across machine learning and data engineering.

Responsibilities - Design, develop, and deploy multi-agent systems for reasoning, planning, and task execution. - Build retrieval-augmented generation workflows using orchestration frameworks and connect structured and unstructured data to agent processes. - Improve inference serving for low latency and high throughput, and make architectural decisions about distributed systems, GPUs, caching, and memory. - Create monitoring and evaluation capabilities to track agent performance, success rates, and failure patterns. - Apply security measures such as guardrails, prompt-injection prevention, and adversarial testing. - Deploy and iterate on services through CI/CD pipelines in collaboration with machine learning and data engineers.

Requirements - Strong Python skills, plus C++ or Go for performance-sensitive components. - Hands-on experience with large language models and agent orchestration frameworks. - Deep understanding of search and retrieval systems, including vector databases. - Knowledge of distributed systems and experience deploying machine learning models in Kubernetes environments. - Familiarity with inference optimization tools such as ONNX Runtime, TensorRT, or DeepSpeed. - Experience with a major cloud provider, infrastructure as code, and AI security risks such as prompt injection and data leakage.

Nice to have - Experience with multi-agent simulation frameworks, AI red teaming, or offensive model security. - Familiarity with graph databases for agent memory or reasoning. - Research, publication, or open-source contributions related to language models or agent frameworks.

Benefits and work setup - The listed benefits include performance and attendance bonuses, private pension, meal and transport allowances, health, dental, and life insurance, and medicine discounts. - Additional offerings include childcare support, learning and language platforms, scholarships, school-material assistance, wellness and partner discounts, and paid days off. Some items are subject to rules.