Lead AI Engineer
About the role
An innovative organisation in the financial services space is looking for a Lead AI Engineer. The successful candidate will help bring the transformative power of emerging AI capabilities to reimagine how the business serves its customers through high-performance infrastructure. You will join a team dedicated to advancing the state of the art in science and engineering to deliver value to millions of users.
What You'll Be Doing
Partner with cross-functional teams of engineers, research scientists, and product managers to deliver AI-powered products.
Design, develop, test, and support AI software components including foundation model training and large language model inference.
Leverage a broad stack of open source and SaaS AI technologies to build scalable production systems.
Invent and introduce state-of-the-art optimization techniques to improve system performance, cost, and latency.
Contribute to the technical vision and long-term roadmap of foundational AI systems within the organisation.
What We're Looking For
Strong foundation in engineering and mathematics with expertise in hardware, software, and AI optimization.
Proven experience developing AI and machine learning algorithms or technologies in a production environment.
Ability to intuitively understand scientific publications and judiciously apply novel techniques to solve business problems.
Experience with technologies such as PyTorch, Vector Databases, and cloud-based AI infrastructure.
Legally authorized to work in the United States.
What's On Offer
Salary: £197,300 - £225,100 annual
Comprehensive health and wellness benefits
Opportunities for professional growth and technical leadership
Flexible hybrid working environment
Access to world-class technology infrastructure and tools
Apply via Hyra to be considered for this opportunity.
Responsibilities
- Partner with cross-functional teams to deliver AI-powered products
- Design, develop, test, and support AI software components
- Leverage open source and SaaS AI technologies to build scalable systems
- Introduce optimization techniques to improve system performance
- Contribute to the technical vision and roadmap of AI systems
Qualifications
- Strong foundation in engineering and mathematics
- Proven experience in developing AI and machine learning algorithms
- Ability to understand scientific publications and apply techniques
- Experience with PyTorch, Vector Databases, and cloud-based AI infrastructure
- Legally authorized to work in the United States
Benefits
- Comprehensive health and wellness benefits
- Opportunities for professional growth and technical leadership
- Flexible hybrid working environment
- Access to world-class technology infrastructure and tools
Skills mentioned
About Hyra
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