AI focused Backend Engineer

Build the Future Workforce

Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it’s already operating at scale inside some of the world’s largest organizations.

Wand built the world’s first Agentic Labor Infrastructure enabling governments and global enterprises to create, manage, and scale digital workforces.

Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy. We’re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale.

Join Wand in leading the Agentic Shift

Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more- always with a focus on delivering real value to customers.

You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern.

Position Summary:

We are looking for a motivated backend engineer who is passionate about building reliable and scalable systems, with a strong interest in working on AI-powered products. You will contribute to the design and development of backend services that support our AI features and product logic. This is an excellent opportunity for someone with some production experience and a deep curiosity for AI to grow within a fast-paced environment alongside experienced engineers.

Responsibilities:

• Develop and maintain backend services supporting AI features and business logic.
• Collaborate closely with AI researchers, product managers, and frontend engineers.
• Implement clean, maintainable, and testable code.
• Optimize APIs and data processing pipelines for performance and scalability.
• Participate in code reviews, design discussions, and team meetings.
• Stay up to date with industry best practices in backend and AI integration.

Key Qualifications:

• 1–3 years of AI experience and 3+ years of backend development experience (professional or equivalent project-based).
• Solid knowledge of Python or a similar backend language.
• Familiarity with building RESTful APIs and working with databases.
• Basic understanding of cloud environments (e.g., AWS, GCP).
• Strong interest in AI technologies and willingness to learn how to support them in production.
• Ability to work independently and ask the right questions when needed.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field

Preferred Experience:

• Exposure to AI/ML concepts, especially LLMs or NLP systems.
• Experience working in a product-focused or early-stage startup environment.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Experience using message queues (e.g., Kafka, RabbitMQ) is a plus.

Personal Characteristics:

• Eager to learn and contribute to ambitious projects.
• Clear communicator and collaborative team player.
• Takes ownership and shows initiative in solving problems.
• Thrives in a fast-paced, iterative development environment.