Engineering Manager - AI Product
New
J
JobgetherArtificial Intelligence
Netherlands, European time zoneFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- AWSPythonArtificial IntelligenceKubernetesMachine LearningCI/CDLinuxLLMDistributed Systems
Requirements
- 7+ years of experience in software engineering, including at least 2 years in an engineering management or technical leadership role.
- Proven experience building and operating production AI/ML platforms or inference infrastructure, with expertise in model serving, GPU workloads, latency optimization, and cost management.
- Strong backend engineering skills, including Python proficiency and experience with distributed systems.
- Hands-on experience with modern LLM technologies, including model APIs, open-weight models, serving frameworks, vector databases, retrieval systems, and prompt or context engineering.
- Solid understanding of AI quality evaluation, benchmarking, observability, regression testing, and monitoring for non-deterministic systems.
- Experience with cloud environments, preferably AWS, along with Kubernetes, containerization, Infrastructure-as-Code tools, CI/CD pipelines, Linux systems, networking fundamentals, and monitoring solutions.
- Excellent communication, leadership, and decision-making skills.
Responsibilities
- Lead, mentor, and develop a small team of AI engineers, fostering a culture of ownership, collaboration, and engineering excellence.
- Define the technical vision and architectural direction of the AI product, ensuring high standards for performance, scalability, reliability, and cost efficiency.
- Contribute hands-on to the design, implementation, and optimization of production AI systems, including model serving, inference pipelines, retrieval systems, orchestration, and evaluation frameworks.
- Oversee the end-to-end AI platform, including GPU infrastructure, model deployment, versioning, embedding pipelines, monitoring, and quality evaluation processes.
- Collaborate closely with Product, Infrastructure, Security, and Backend teams to align priorities, deliver integrated solutions, and support strategic business goals.
- Conduct regular performance reviews, coaching sessions, and technical mentoring while translating long-term objectives into clear execution plans and ensuring successful project delivery.
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