Careers
We are a next generation collaboration platform that unites AI agents and humans to revolutionize the way enterprises work, innovate, and thrive.
Our Values
Current Openings
Backend Engineer
About The Position
Wand AI’s Mission
Wand AI’s mission is to drive a generational leap for the global economy by integrating agent ecosystems into the core of work, business, and society. We are committed to making this shift safe, transparent, and radically efficient.
We build the operating system that powers, manages, and scales agent ecosystems, and the tools that enable seamless collaboration between humans and agents at every level of autonomy.
This transformation will redefine how economies operate, how organizations grow, and how progress is made in an increasingly agent-driven world.
Join AI’s Brightest Minds
Work alongside some of the world’s best talent from the likes of DeepMind, Microsoft Research, Google Brain, Amazon, Nvidia, IBM, Jasper, and Hubspot. Our team consistently publishes groundbreaking research in the field’s most prestigious journals.
We’re Focused on Outcomes
Wand is assembling an elite global team of extraordinary talent—highly driven, high-IQ individuals with exceptional critical thinking abilities, high ownership, and a can-do mentality, ready to fully dedicate themselves, committing extensive hours each week and embracing aggressive timelines to shape the future.
Requirements
Position Summary:
This role is ideal for a hands-on backend engineer with 5-10 years of experience, especially in a high-paced startup environment. You will be instrumental in designing, developing, and maintaining scalable backend systems, ensuring our AI products meet the highest standards.
Responsibilities:
Develop high-quality, scalable, and secure backend services.
Collaborate with frontend developers and product teams to integrate AI capabilities.
Engage in all technical aspects without reliance on DevOps support.
Uphold a culture of high efficiency, creativity, and quality.
Make fast, data-driven decisions and demonstrate ownership.
Commit to team goals and ensure high availability for collaboration.
Contribute to system architecture design and implementation.
Optimize applications for maximum speed and scalability.
Key Qualifications:
Degree in Computer Science, Engineering, or a related field;
5-10 years of backend engineering experience.
Strong proficiency in backend languages (Python and alike).
Proven track record in a high-paced startup environment.
Experience with unmanaged backend microservices environments including Docker, Kubernetes, and message queues.
Experience with databases, APIs, and web services.
Self-sufficiency in technical challenges without reliance on DevOps support.
Proficiency in at least one cloud environment (GCP, AWS, Azure).
Experience with production-ready products serving 1000+ customers.
Strong background in enterprise-level production-ready products.
Proven track record of driving innovation and efficiency in technology solutions.
Preferred Experience:
Background in B2C Product-Led Growth (PLG) products.
Expertise in NLP, AI, LLMS.
Experience with Elasticsearch.
Personal Characteristics:
Strong individual contributor with the ability to work independently.
Excellent communication and interpersonal skills.
Continuous drive for improvement and innovation.