Principal AI/ ML Engineer

Compensation: No equity

At Everway (formerly n2y/Texthelp), our goal is to lead the world in Neurotechnology software, helping transform the way we understand and are understood.

We’re a global community of over 550 team members spanning seven countries, including the UK, USA, Norway, Denmark, Sweden, Australia, and New Zealand. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. A world where everyone can thrive.

We can only achieve our goals and continue to grow by having high performing people in our team, people who share our goals and are passionate about our mission. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully.

Join us at Everway - together, we can unlock the full potential of every mind.

About the role

As a Principal AI/ML Engineer at Everway, you’ll design and build the core AI infrastructure that powers intelligent functionality across our entire product suite. This is not a narrow MLOps or feature engineering role — you’ll be part of a small, high-impact team responsible for creating foundational AI systems used across content retrieval, content levelling, GenAI orchestration, and multi-language model integration.

You’ll work closely with AI engineers, product teams, and platform engineering to ensure our AI capabilities are reusable, robust, and production-grade — enabling Everway to scale AI impact across learner and educator experiences globally.

Main Responsibilities

• Design and implement shared AI services (e.g. retrieval, content levelling, model routing, evaluation frameworks)
• Build and maintain ML model pipelines, embedding infrastructure, and vector search layers
• Collaborate with product and GenAI teams to integrate AI platform components into live workflows
• Define and enforce standards for scalable, maintainable AI infra
• Contribute to model quality evaluation, observability, and safety infrastructure
• Work across multiple languages and data modalities (text, image, structured input)
• Participate in architectural reviews, technical planning, and roadmap discussions

Essential Criteria

• 5+ years of experience in machine learning, AI infrastructure, or applied ML engineering
• Proven experience building production ML systems, not just research or prototyping
• Strong software engineering skills (Python, backend APIs, cloud infra)
• Hands-on experience with vector search, semantic embeddings, and retrieval systems
• Solid understanding of LLMs and modern GenAI system architectures
• Experience with model deployment frameworks (e.g. Ray, MLFlow, SageMaker, custom infra)
• Excellent communication skills and ability to work cross-functionally in a fast-moving environment
• Experience with multilingual or accessibility-focused NLP
• Familiarity with content generation or authoring platforms (e.g. CMS integrations)
• Knowledge of prompt orchestration tools, safety frameworks, and GenAI evaluation approaches
• Comfortable working in early-stage, high-autonomy environments

Join our team and enjoy a competitive salary with bonus opportunities, flexible work schedules, and comprehensive health and wellness benefits. We offer flexible time off plans, career growth through development programs, and a collaborative, innovative culture where your ideas matter. Ready to make an impact? Apply today and be part of a company that invests in your success!

We are committed to providing a Drug-Free Workplace for all employees.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.