Wand AI

Data Experience Software Engineer @ Wand Synthesis AI Inc.

Wand AI

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSAzureCloudDockerETLFlaskGoogle Cloud PlatformKafkaKubernetesMicroservicesPythonSpark

About the role

  • 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.

Requirements

  • 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.).