onsite
AI Workflow Engineer - FGF Brands
Software Engineer
Design and automate AI‑driven workflows that boost team productivity, reduce manual effort, and integrate machine‑learning models into daily operations using Python, Airflow, and cloud services.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end AI workflow pipelines that automate repetitive tasks across business units.
- Collaborate with cross‑functional teams to translate operational pain points into scalable, data‑driven solutions.
- Integrate machine‑learning and natural‑language‑processing models into production workflows using Python and API services.
- Orchestrate and monitor workflow schedules, dependencies, and error handling with Apache Airflow.
- Deploy and manage workflow infrastructure on AWS, ensuring security, reliability, and cost efficiency.
- Provide documentation, training, and support to empower team members to leverage AI tools effectively.
Requirements
- 3+ years of experience building data or AI pipelines, preferably with Apache Airflow or similar orchestration tools.
- Strong proficiency in Python and experience with ML/NLP libraries (e.g., scikit‑learn, TensorFlow, spaCy).
- Hands‑on experience with cloud platforms, especially AWS services such as Lambda, S3, and SageMaker.
- Ability to design RESTful APIs and integrate external services into automated workflows.
- Excellent problem‑solving skills and a collaborative mindset for working directly within product or operations teams.
Skills
pythonairflowmachine learningnatural language processingaws