About the Company
We are working with a confidential, PE-backed SaaS platform that serves a global customer base and is entering a new phase of growth. With a strong mandate to innovate and scale, the company is investing in AI talent to build next-generation features and enhance its mission-critical platform.
The Role
As an AI Engineer, you will play a key role in designing, building, and deploying AI/ML-powered features that directly impact customer outcomes and business growth. You will collaborate with product and engineering leaders to translate business problems into scalable technical solutions, leveraging modern cloud infrastructure and data pipelines. This is a highly visible role with the opportunity to shape how AI is embedded across the company’s platform.
Key Responsibilities
- Design, train, and deploy machine learning and AI models to solve complex business problems.
- Partner with product, engineering, and data teams to bring AI-driven features (e.g., predictive analytics, intelligent automation, conversational interfaces) into production.
- Optimize performance, scalability, and accuracy of models in a cloud-native SaaS environment (AWS/GCP).
- Stay current with emerging AI/ML technologies and evaluate their application to the platform.
- Contribute to the development of data pipelines and architecture supporting AI initiatives.
What You Bring
- 4+ years of professional experience in AI/ML engineering or applied data science.
- Hands-on expertise in Python, TensorFlow/PyTorch, and modern ML frameworks.
- Strong understanding of cloud environments (AWS/GCP) and deploying models at scale.
- Background in SaaS, payments, or adjacent data-intensive platforms a plus.
- Creative problem-solver with ability to collaborate across teams and translate business needs into technical solutions.
Why Join
- Opportunity to embed AI at the core of a PE-backed growth-stage SaaS company.
- Work on high-impact, customer-facing features used globally.
- Be part of a fast-moving, collaborative team with strong executive sponsorship for innovation.