Robotics QA Automation Engineer

Design, implement, and manage orchestration pipelines that integrate multiple Generative AI models, APIs, and tools into scalable end-to-end workflows for robotics data collection and annotation.

Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to define use cases and translate them into AI-driven automated processes.

Ensure system scalability, performance, and reliability by monitoring, optimizing AI pipelines, and integrating orchestration platforms with cloud and enterprise environments.

Bachelor's or Master's Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field (or equivalent experience).

Minimum 3 years of experience in AI/ML engineering, data engineering, or workflow orchestration; experience with GenAI/LLM orchestration is a strong plus.

Proficiency with orchestration tools/frameworks such as Airflow, Prefect, LangChain, Dagster, Kubeflow, or similar.

Strong programming skills in Python; familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.

Experienced in high-quality egocentric data collection and annotation pipelines combining automation and human-in-the-loop workflows.

Technically skilled in AI/ML orchestration frameworks with the ability to translate complex business requirements into automated, AI-driven workflows.

Experienced working in multi-disciplinary teams bridging technical and non-technical roles with an emphasis on scalable and reliable AI solutions.