GenAI First Engineer

Hey, we’re amp, and we’re leading the fitness evolution. Forget the guesswork, the clutter, and the compromises—amp brings full-body, AI-powered workouts straight to your home. With intelligent resistance, expert-led programs, real-time progress tracking, and a sleek, space-saving design, we make high-performance training part of everyday life.

Our Mission? To help people live longer, stronger lives by making strength training effortless, effective, and built around you.

We’re a team of 120+ passionate minds—designers obsessed with every detail, engineers solving real problems, and training experts who know that consistency beats intensity. We’ve brought together talent from Apple, DraftKings, Nike, Spotify, and Meta, all with one goal: redefining strength training from the ground up. amp isn’t just a product—it’s a new standard. We built amp because strength training should fit your life, not the other way around.

Where We Are Now? Over the past four years, we’ve developed a next-generation strength training system designed for personalized, intelligent workouts. After a successful soft launch, we’re scaling fast with a cutting-edge D2C e-commerce platform built for massive growth.

Now, we’re looking for top-tier talent to help shape the future of strength training.

Are you in?

About The Role

We're looking for a GenAI First Engineer to lead the integration of AI across our organization's operations. In this role, you'll connect software, hardware, finance, and other departments through smart, scalable automation powered by generative AI.

Think of this person as the architect who builds intelligent bridges between every team—making information flow automatically and intelligently across the company. The impact? Saving millions and making operations 10x more efficient.

Responsibilities:

• Develop internal AI agents and automated workflows using Python, LangChain, LlamaIndex, CrewAI or similar.
• Integrate AI solutions deeply into our business tools (e.g., Slack, Jira, Monday.com, CRM, ERP).
• Create intuitive internal web interfaces for teams to interact with AI tools seamlessly.
• Collaborate closely with departments across amp to identify and prioritize automation opportunities.
• Establish robust monitoring to track performance, optimize automations, and ensure reliability.
• Train and empower amp employees to effectively utilize AI tools and automation solutions.
  
  

• Internal knowledge assistants that provide real-time responses to employee queries on processes, data, and policies.
• Document processing and auto-generation systems integrated with our productivity tools.
• Workflow automations that streamline task routing and information sharing across departments.
• Predictive AI systems to optimize inventory management, customer support, and operational efficiency.
• Real-time dashboards providing actionable insights and performance metrics.
  
  

• 5+ years of professional software development experience.
• Expert proficiency in Python and familiarity with JavaScript/TypeScript (React preferred).
• Hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex).
• Deep understanding of APIs, system integrations, databases, and data pipelines.
• Experience with cloud platforms (AWS, GCP, Azure).
• Proven ability to securely manage and process sensitive internal data.
  
  

• Demonstrated experience building and deploying production-grade LLM-powered applications.
• Strong knowledge of Retrieval-Augmented Generation (RAG) systems.
• Experience in prompt engineering, agent design, and workflow automation tools.
• Proven record of automating complex internal business processes with measurable ROI.
  
  

• Exceptional ability to translate complex business processes into automated solutions.
• Excellent communication skills, able to engage effectively with non-technical stakeholders.
• Proactive, self-directed problem solver with an eye for optimization.
• Ability to quantify, measure, and clearly demonstrate the value and impact of automations.
• Track record of developing tools that employees rely on daily to perform their roles more effectively.
  
  

• Experience in operations or business process optimization.
• Background in fitness, health tech, IoT, hardware, or manufacturing.
• Familiarity with community-driven digital platforms.