Phaidon International-posted 25 days ago
Full-time • Mid Level
Hybrid • New York, NY
1,001-5,000 employees
Professional, Scientific, and Technical Services

Are you passionate about building scalable, intelligent systems that transform workflows? We're looking for a Full Stack Developer who thrives at the intersection of cloud engineering, data pipelines, and Generative AI. This role combines hands-on development with technical product management, enabling you to shape solutions that power automation at scale. The position is an Individual Contributor position but requires management by influence and technical leadership as a SME.

  • Design and develop Python-based backend services and React front-ends for enterprise-grade applications.
  • Deploy and optimize solutions on Azure (AWS/GCP experience acceptable), leveraging containerization and CI/CD for daily build cycles.
  • Build robust data engineering pipelines and integrate workflow automation tools like n8n and Replit.
  • Incorporate Generative AI APIs (OpenAI, Azure OpenAI, Hugging Face) into business workflows for intelligent automation with Azure Fabric downstream
  • Collaborate cross-functionally in bi-weekly sprints, working closely with product managers, data scientists, and business stakeholders.
  • Own technical roadmaps, write detailed technical memos, and communicate results clearly to both technical and non-technical audiences.
  • Strong experience in Python back-end development and React for front-end.
  • Hands-on expertise with Azure cloud services (AWS/GCP experience acceptable).
  • Familiarity with data engineering frameworks (Airflow, Spark, etc) and workflow automation tools.
  • Proven ability to integrate GenAI APIs into production workflows.
  • Excellent communication skills, including the ability to own technical roadmaps and translate complex ideas into actionable plans.
  • Previous experience owning the above items in production settings.
  • Experience with Databases - SQL(SQL Server /Postgre SQL) & non SQL Cosmos DB
  • Experience with real-time gigabyte-volume data streams and stream processing.
  • Bachelor's Degree in a technical field (Computer Science or Data Science preferred) or related disciplines such as ORIE, Electrical Engineering, Experimental Physics, Statistics, and Applied Mathematics.
  • Work on cutting-edge AI-driven automation projects impacting enterprise-scale workflows.
  • Collaborate with a dynamic, cross-functional team in an agile environment.
  • Drive innovation with tight feedback loops, cohort-based experimentation, and continuous delivery.
  • We're proud of our award-winning culture and ED&I initiatives. Our meritocratic environment is built on real values, supported by employee-led forums, training programs, and sustainability efforts.
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