AI Solutions Engineer

Our Mission:

ButterflyMX is on a mission to empower people to open and manage doors & gates from a smartphone. Our products are installed in more than 20,000+ multifamily, commercial, gated communities, and student-housing properties worldwide, including properties developed, owned, and managed by the most trusted names in real estate. Our features are designed for developers, owners, property managers, and tenants and our products lower operating costs and improve tenant satisfaction.

Our Solution:

Developers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access, revoke permissions, and review entry logs from an online dashboard. Residents can open doors from their smartphones, issue visitor access, and see who is trying to enter the building.

Our Culture & Values:

Fantastic people are the key to our success. As a distributed, primarily remote workforce, we’re looking for more intelligent, passionate, collaborative, ai-forward, and down-to-earth individuals to join our growing team. We’re driven by a shared commitment to excellence and innovation, grounded in our core values: We delight our customers, We take ownership, We are a community of collaborators, We speak up, We think big and do small, and We are tenacious.

Role Overview:

This is a rare opportunity to make a direct impact on a top-priority initiative from day one. Turning executive vision into tangible AI solutions, shaping how our business works, and helping every team operate faster and smarter by developing and deploying AI tools and agents, and drive enthusiastic adoption across the org.

As an AI Solutions Engineer at ButterflyMX, you’ll bring cutting-edge AI tools into the daily operations of a fast-growing SaaS company. You’ll design, build, and deliver pragmatic AI solutions that save time, reduce friction, and improve decision-making for our teams. You’ll act as a hands-on builder and problem-solver focused on turning ideas into working prototypes and scaling those prototypes into production-ready tools that deliver measurable business value. This role reports to the AI Solutions Lead and is eligible for fully remote work (inside the continental US).

Responsibilities:

• Rapidly prototype, test, and deploy AI-powered tools such as copilots, automations, knowledge assistants, and agents.
• Implement RAG pipelines, prompt engineering, and orchestration frameworks (LangChain, LlamaIndex, etc.).
• Partner with business teams to understand workflows and identify opportunities for AI acceleration.
  Work closely with data, engineering, and security teams to ensure reliability, scalability, and compliance of deployed solutions.
• Maintain and contribute to a backlog of AI initiatives, prioritizing those with clear business impact.
• Monitor performance and adoption, track KPIs, and iterate on solutions to maximize effectiveness.
• Contribute to internal documentation, demos, and training to help colleagues become fluent AI users.
• Provide technical support during workshops, office hours, and stakeholder pilots.
• Evaluate emerging AI platforms, frameworks, and APIs with a pragmatic lens for business value.
• Share insights with the team and contribute to scaling best practices into playbooks and repeatable patterns.
  
  

Requirements:

• Strong hands-on experience as a technical IC (e.g., software engineering, ML, data engineering, or automation).
• Proficiency with modern AI tooling (OpenAI, Claude, LangChain, Hugging Face, vector DBs, agents, RAG pipelines).
• Demonstrated ability to scope, build, and deliver working solutions from idea to impact.
• Solid understanding of APIs, data pipelines, and software deployment practices.
• Excellent problem-solving and communication skills. You can explain technical concepts clearly and engage with non-technical stakeholders.
• Experience with cloud platforms (AWS, GCP, Azure) and containerized deployments (preferred).
  Previous work on copilots, chatbots, or workflow automation tools (preferred).
• Strong product sense, you can see through the hype to spot practical, high-leverage use cases (preferred).