Engineering Manager - AI Product

Added
13 days ago
Type
Full time
Salary
Salary not provided

Related skills

aws python kubernetes distributed systems ci/cd

πŸ“‹ Description

  • Lead, mentor, and develop a small team of AI engineers, fostering ownership and collaboration.
  • Define the technical vision and architecture for the AI product with focus on performance
  • Contribute hands-on to design and optimization of production AI systems (model serving, inference
  • Oversee the AI platform, including GPU infra, deployment, versioning, embedding pipelines
  • Collaborate with Product, Infrastructure, Security, and Backend teams to align priorities and
  • Conduct regular performance reviews and mentoring, translating objectives into execution plans.

🎯 Requirements

  • 7+ years in software engineering; at least 2 years in engineering management or technical
  • Proven experience building/operating production AI/ML platforms, with model serving, GPU workloads
  • Strong backend skills with Python; distributed systems; Go/Rust a plus.
  • Hands-on with modern LLM tech: model APIs, open-weight models, serving frameworks, vector
  • Understanding of AI quality evaluation, benchmarking, observability, regression testing, and
  • Experience with AWS, Kubernetes, containerization, IaC, CI/CD, Linux, networking, and monitoring

🎁 Benefits

  • Fully remote position with collaboration across the European time zone.
  • Opportunity to lead a highly impactful AI product with ownership and influence.
  • Hands-on leadership role combining management with active software development.
  • Exposure to cutting-edge AI technologies (LLMs, inference infra, GPU computing, distributed
  • Close collaboration with cross-functional teams (engineering, infrastructure, product, security).
  • Career growth through technical leadership and architectural ownership.
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