Job Details

Our client is a rapidly growing AI-services startup helping businesses scale exponentially, led by a proven executive team with a history of building multi-million dollar businesses and working with premier clients including OpenAI and Microsoft. The company is well-funded, projecting $2M in ARR for 2025 and targeting $8M+ in 2026. This is a rare chance to contribute to a high-growth startup with strong financial stability and significant strategic influence.
Core Responsibilities

• Architect and develop scalable backend services and APIs to support the company's core platform
• Build and maintain efficient data pipelines to power analytics and AI/ML use cases
• Oversee the architecture and optimization of the data lake and data warehouse
• Design workflows that support integration and experimentation with machine learning models
• Ensure backend systems meet performance, security, and reliability standards
• Make key infrastructure decisions, focusing on scalability and data governance
• Collaborate on long-term operational strategy and technical vision
• Manage client-facing dashboards and ensure accuracy of data delivery

• Expertise in Python, SQL, and backend frameworks (e.g., FastAPI, Django, Node.js)
• Experience with modern data pipeline tools (e.g., Airflow, dbt, Kafka, Spark)
• Proficiency in cloud infrastructure (AWS, GCP, or Azure)
• Strong understanding of both relational and non-relational databases
• Familiarity with AI/ML development workflows, including model training and inference
• Highly detail-oriented with a growth mindset and strong collaboration skills
• Excellent organizational, analytical, and communication abilities
• Comfortable operating in a high-stakes, fast-paced startup environment