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
Data Experience Software 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:
We are looking for a backend-focused software engineer to join the Agentic team and contribute to building high-performance data infrastructure and scalable services for AI-driven workflows. This role is ideal for a senior engineer who thrives in a startup environment, enjoys end-to-end ownership, and is excited about working closely with product and research teams to deliver data-intensive features.
Responsibilities:
- Design, build, and maintain scalable data pipelines and systems that support agentic applications.
- Develop backend services and APIs that handle data ingestion, transformation, and access.
- Work closely with the Data Engineering lead to define architecture and technical direction.
- Integrate structured and unstructured data sources into agent workflows.
- Ensure high performance and reliability of data systems in production environments.
- Collaborate with AI researchers and product teams to deliver intelligent, data-driven features.
- Contribute to best practices in data governance, quality, and security.
Key Qualifications:
- 4+ years of experience in software engineering or data engineering roles.
- Proficiency in Python (or another high-level language), and experience with backend frameworks (e.g., FastAPI, Flask).
- Strong experience with data engineering tools and systems such as Airflow, Spark, dbt, or similar.
- Hands-on experience with cloud platforms (GCP, AWS, or Azure), especially in data infrastructure.
- Solid understanding of ETL/ELT pipelines, APIs, and microservices.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Excellent problem-solving and debugging skills.
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field
Preferred Experience:
- Experience building systems that interact with LLMs, RAG pipelines, or agentic architectures.
- Familiarity with graph databases, vector stores, or semantic search technologies.
- Experience working in startups or fast-moving product teams.
- Exposure to DevOps and CI/CD practices in cloud-native environments.
- Understanding of real-time data streaming technologies (Kafka, Pub/Sub, etc.).
Personal Characteristics:
- Proactive, autonomous, and comfortable working in ambiguous environments.
- Strong sense of ownership and accountability.
- Collaborative mindset and ability to work effectively with cross-functional teams.
- Curious and always eager to learn and adopt new technologies.
- Clear communicator with strong documentation habits.
- Passion for building intelligent systems that combine AI and data.