Data & AI Engineer (SaaS | Fitness & Wellness)

We’re building the future of digital fitness & wellness personalized, data‑driven, and AI‑powered. As we scale, we’re looking for a Data & AI Engineer who can strengthen our backend systems while helping shape the intelligent features that will power the next generation of our platform.

If you’re passionate about data engineering and excited to work hands‑on with AI/ML systems, this is your opportunity.

⭐ What You’ll Do

• Review, optimize, and enhance our backend data services and infrastructure.
• Build scalable ETL/ELT pipelines, real‑time data ingestion, and integrations with fitness/wellness APIs.
• Prepare and structure datasets for AI/ML training, inference, and analytics.
• Collaborate on building ML models (personalization, recommendations, progress insights, etc.).
• Develop ML pipelines, model deployments, and MLOps workflows.
• Work with LLMs, vector databases, and embedding pipelines for future AI features.
• Ensure top-tier data quality, governance, and observability.

What You Bring

• 3–7+ years in Data Engineering, Backend Engineering, or ML Engineering.
• Strong proficiency in Python, SQL, cloud platforms (AWS/GCP/Azure).
• Experience with data pipelines.
• Experience preparing data for ML and deploying ML models in production.
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
• Understanding of vector databases, embeddings, or LLM‑powered features is a big plus.
• Bonus: Experience in fitness, wellness, or health‑tech.

Job Type: Full-time

Experience:

• Data Engineering, Backend Engineering, or ML Engineering: 5 years (Required)
• Batch ETL/ELT: 5 years (Required)
• Real-time streaming: 5 years (Required)
• Data orchestration tools: 4 years (Required)
• AWS/Azure/GCP: 5 years (Required)

Work Location: In person