AI Platform Engineer
@
OfferFit
Do you enjoy working on data-intensive products and being involved in projects from an early stage? Come join our quickly growing Engineering team to help design, improve and scale OfferFit's self-learning (reinforcement learning) AI platform.
AWS
Azure
GCP
Kubernetes
Terraform
Docker
OfferFit
OfferFit was founded by ex-McKinsey and BCG math PhDs, and we’re funded by leading Silicon Valley VCs. OfferFit’s AI decisioning engine supports 1:1 personalization for lifecycle marketing campaigns, powered by reinforcement learning AI. This allows marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home, Yelp, Chime, Engie, and MetLife, among many others.
In particular, you will:
- Apply software engineering best practices for coding, testing, and documentation to design and implement modular software components as part of a cutting-edge ML platform.
- Lead the design, implementation and optimization of platform integration solutions, ensuring reliability and scalability across diverse enterprise platforms.
- Design and implement event-driven, cloud-native architectures that balance performance and cost-effectiveness while providing robust fault tolerance and adaptability for evolving business requirements.
- Continuously identify opportunities to enhance system performance, streamline processes, and adopt cutting-edge technologies.
- Work closely with OfferFit customers and internal stakeholders to translate real-world use cases into platform features.
- Collaborate with teams responsible for OfferFit’s product strategy and roadmap.
In particular, you will:
- Apply software engineering best practices for coding, testing, and documentation to design and implement modular software components as part of a cutting-edge ML platform.
- Lead the design, implementation and optimization of platform integration solutions, ensuring reliability and scalability across diverse enterprise platforms.
- Design and implement event-driven, cloud-native architectures that balance performance and cost-effectiveness while providing robust fault tolerance and adaptability for evolving business requirements.
- Continuously identify opportunities to enhance system performance, streamline processes, and adopt cutting-edge technologies.
- Work closely with OfferFit customers and internal stakeholders to translate real-world use cases into platform features.
- Collaborate with teams responsible for OfferFit’s product strategy and roadmap.
