What are the responsibilities and job description for the Data Engineer position at Mindlance?
Position Summary
We are seeking an AI Integration Engineer to design and build AI-enabled application ecosystems by integrating multiple enterprise systems, APIs, and cloud services. This role focuses on AI application integration rather than AI model development. The ideal candidate will have strong experience with APIs, middleware, authentication, cloud platforms, and Python-based backend development.
Key Responsibilities
- Integrate AI-powered applications with enterprise platforms and third-party systems.
- Design and develop REST APIs and backend services to enable seamless data exchange.
- Build scalable integration solutions connecting 5-6 enterprise systems.
- Implement authentication and authorization mechanisms, including user-based access controls.
- Develop middleware components and orchestration layers for AI-enabled workflows.
- Collaborate with application, data, and cloud engineering teams to deliver integrated solutions.
- Support deployment and operation of solutions in cloud environments.
- Work with structured and semi-structured data sources to support business applications.
- Ensure security, scalability, and performance of APIs and integrations.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Salary : $40 - $45