Technical Member of Staff (Cloud AI Engineering)

If you are an experienced Cloud Engineer who has experience architectin and building Cloud and Back End Systems to scale, ideally with a mixture of both big tech and high growth AI start up companies then this could be the challenge right for you.







About Our Client

They are a fast-growing AI startup at the forefront of innovation in Language Modeling and generative AI. Their mission is to empower enterprises with cutting-edge language modeling solutions that drive real-world impact. Backed by top-tier investors and led by a team of AI veterans, they're building scalable, secure, and intelligent systems that redefine how businesses interact with data. They are based out of Palo Alto and the world class team work together in person 5 days a week.

The Role

They are looking for a Senior Cloud Engineer to join the core engineering team. You'll play a critical role in designing, building, and scaling our cloud-native ML platform, enabling rapid experimentation and deployment of large-scale language models.

What You'll Do

• Architect and maintain scalable cloud infrastructure for ML workloads using AWS SageMaker, Google Vertex AI, or Azure ML.
• Build robust backend systems and APIs to support model training, evaluation, and deployment.
• Optimize performance and cost-efficiency of distributed training and inference pipelines.
• Collaborate with ML researchers and product teams to bring models from prototype to production.
• Implement CI/CD pipelines, observability tools, and infrastructure-as-code practices.
  
  

What We're Looking For

• 5+ years of experience in cloud engineering or backend development.
• Deep expertise with at least one major cloud ML platform (SageMaker, Vertex AI, Azure ML).
• Strong programming skills in Python, Go, or similar languages.
• Experience with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation).
• Proven track record in high-growth or startup environments, ideally in AI/ML.
  
  

Nice to Have

• Familiarity with LLMs, transformers, or generative AI workflows.
• Experience with data pipelines, feature stores, or MLOps platform
  

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.

To find out more about Huxley, please visit www.huxley.com

They are a fast-growing AI startup at the forefront of innovation in Language Modeling and generative AI. Their mission is to empower enterprises with cutting-edge language modeling solutions that drive real-world impact. Backed by top-tier investors and led by a team of AI veterans, they're building scalable, secure, and intelligent systems that redefine how businesses interact with data. They are based out of Palo Alto and the world class team work together in person 5 days a week.