AI Engineer

iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.

 

We are currently seeking an ambitious pace-setter to join our team as an AI Engineer working remotely who has experience architecting and shipping robust multi-agent systems in production, and knows what it takes to do so at scale.

 

ROLE COMMITMENTS

• Be a core builder of the AI Coach for iFITs users as we look to create a holistic fitness platform 
• Deliver high-quality consumer experiences: Create compelling, personalized, and high-quality AI experiences that enhances user engagement.
• Build the most compelling connected health & fitness platform: Leverage cutting-edge generative AI to pioneer innovative features that redefine connected fitness experiences.
• Make people, culture, and how we operate a competitive advantage: Collaborate cross-functionally to foster innovation, agility, and continuous learning within the team.

 

ESSENTIAL DUTIES AND RESPONSIBILITIES

We’re looking for talented AI engineers who have experience architecting and shipping robust multi-agent systems in production, and know what it takes to do so at scale. You’ll be a core part of a cross-functional team working on the AI Coach. 

• Design, develop, and deploy AI Coach capabilities 
• Collaborate closely with a high-impact inter-disciplinary team to build and ship production-quality code
• Contribute to a data culture by building systems that enable evals and application observability
• Contribute to architectural decisions and best practices for AI-driven systems
• Improve foundational LLMs 
• Ensure our solutions remain at the forefront of the industry by actively monitoring and adopting new developments in AI and machine learning.
• Cultivate a culture of growth by providing mentorship and expert guidance to our engineering team on AI and software development best practices.

Qualifications

 

Education and Basic Qualifications

 

• 5+ years of relevant engineering and AI experience 
• Experience with Agentic AI frameworks (LangGraph and Llama-Index) and building, deploying and maintaining LLM-based agentic applications in production are essential 
• Demonstrated expertise in writing production-level Python/Typescript code
• Proven ability to design and prototype AI solutions quickly
• Experience with production-level multi-agent AI systems is a must
• Authorized to work in the United States without sponsorship.