Job Qualifications:

• Programming Languages: Python/Typescript for backend development focus on AI model / LM integrations
• Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models and scalable backend infrastructure. Knowledge of distributed systems and microservices architecture.
•  Expertise in both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra, Redis) databases, with an emphasis on optimizing for AI model data storage and retrieval.
• Experience in designing and maintaining APIs that expose AI model functionalities to
  frontend systems and external services (e.g., RESTful APIs, GraphQL).
• Proficiency with Git, GitHub/GitLab, and CI/CD pipelines to ensure smooth deployment of AI solutions and backend services.
• Understands data security protocols, including encryption, access control, and regulatory compliance.
• Minimum Bachelor's degree in Informatics Engineering or a related field
• At least 2 years of working experience in a similar role

Job Desc:

•  Design and maintain backend systems to support AI models, including data pipelines and model-serving infrastructure.
•  Develop and maintain APIs to interact with AI models, ensuring smooth communication between frontend systems, AI models, and external services.
•  Design and manage databases for AI model data, including training datasets, model states, and results. Ensure proper data storage and retrieval mechanisms.
•  Collaborate closely with AI Engineers to optimize backend services for AI model deployment, troubleshoot issues, and improve integration.
•  Maintain thorough documentation on the backend systems, data pipelines, and AI model integrations for internal use and future reference.
•  Monitor backend systems that support AI models and diagnose issues, especially related to model inference and API availability.