Principal AI Engineer
2 weken geleden
Principal AI Engineer | Remote or Hybrid
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Start Date: ASAP
With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.
This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company's technical evolution.
The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.
The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.
Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
Set best practices for ML engineering, model lifecycle management, security, and governance.
Provide expert guidance on architecture decisions across data, ML, and application layers.
Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
Mentor and support engineering teams, elevating technical capabilities across the organization.
Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.
7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
~ Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
~ Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
~ Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
~ Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
~ Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
~ Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
~ Flexible remote or hybrid working environment.
Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
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