Full-stack Engineer for Tech Company
Budget: $1,500 – $3,000 USD
Job description
– Analyze the system architecture and propose improvements for AI pipelines, data architecture, and APIs.
– Integrate MLFlow into the platform to automate model tracking and metadata storage.
– Build user-facing dashboards displaying model runs, user feedback, and system alerts.
– Implement a feedback loop that collects user feedback and connects it back into the AI pipeline.
– Design and implement multi-tenancy architecture for customer data separation and role-based access control.
– Develop a comprehensive audit log system for AI activities and set up alert mechanisms for abnormal behaviors.
Requirements
– 3+ years of experience in fullstack development (both frontend and backend).
– Proficient in Python (FastAPI or Flask) and React.
– Experience building and integrating RESTful APIs with clean codebase organization.
– Solid understanding of MLFlow or equivalent ML/AI tracking platforms.
– Skilled in working with PostgreSQL, MongoDB, and logging systems.
– Strong systems-thinking mindset, with the ability to work independently and proactively.
– Experience with multi-tenant systems, RBAC, and audit logging.
– Background in internal platforms for AI, Data Science, or SaaS is a strong plus.
– Knowledge of DevOps practices, Docker, and CI/CD pipelines is a bonus.
Benefits
– Salary and other benefits can be negotiable
– Analyze the system architecture and propose improvements for AI pipelines, data architecture, and APIs.
– Integrate MLFlow into the platform to automate model tracking and metadata storage.
– Build user-facing dashboards displaying model runs, user feedback, and system alerts.
– Implement a feedback loop that collects user feedback and connects it back into the AI pipeline.
– Design and implement multi-tenancy architecture for customer data separation and role-based access control.
– Develop a comprehensive audit log system for AI activities and set up alert mechanisms for abnormal behaviors.
Requirements
– 3+ years of experience in fullstack development (both frontend and backend).
– Proficient in Python (FastAPI or Flask) and React.
– Experience building and integrating RESTful APIs with clean codebase organization.
– Solid understanding of MLFlow or equivalent ML/AI tracking platforms.
– Skilled in working with PostgreSQL, MongoDB, and logging systems.
– Strong systems-thinking mindset, with the ability to work independently and proactively.
– Experience with multi-tenant systems, RBAC, and audit logging.
– Background in internal platforms for AI, Data Science, or SaaS is a strong plus.
– Knowledge of DevOps practices, Docker, and CI/CD pipelines is a bonus.
Benefits
– Salary and other benefits can be negotiable