Digital Engineering Data Solutions Architect developing next generation Relational Cross Domain Data Digital Engineering Architecture at Draper. Working on multidisciplinary teams for national security solutions.
GP
Hybrid Advanced AI Integration Engineer, Python
Posted 1 hour ago
About the role
- Advanced Python AI Integrations Engineer designing and maintaining backend integration services. Role focused on hands-on development and system integration for mission-critical business processes.
Responsibilities
- Design, build, and maintain backend integration services using Python
- Develop and support integrations using REST APIs, Webhooks, and JSON-based data exchanges
- Implement data pipelines and automation workflows for operational, product, and financial data
- Integrate internal systems with third-party platforms, SaaS tools, and external services
- Build utilities and scripts for data transformation, validation, and synchronization
- Use AI-assisted tools (e.g., ChatGPT, Claude, Cursor, Copilot) as part of the daily development workflow
- Leverage AI to accelerate debugging, documentation, scripting, and integration design
- Collaborate in environments where AI-generated code and workflows are part of the standard process
- Build and maintain automated workflows using Power Automate, n8n, or similar low-code platforms
- Ensure accuracy, consistency, and timeliness of data exchanged between systems
- Monitor integrations, troubleshoot failures, and resolve issues across multi-system workflows
- Work closely with product, operations, and engineering teams to understand integration needs
Requirements
- 4+ years of experience in software development or backend engineering
- 3+ years of hands-on experience with Python for backend services, integrations, or automation
- Proven experience building and maintaining system integrations using APIs and data pipelines
- Strong backend development experience with Python
- Solid experience building and consuming REST APIs
- Proficiency working with JSON and structured data formats
- Experience integrating multiple systems and third-party platforms
- Familiarity with workflow automation tools (Power Automate, n8n, or similar)
- Working knowledge of SQL for data validation, queries, and basic transformations
- Experience debugging complex, multi-system integration issues
- Comfortable working in cloud environments (AWS, Azure, or GCP)
- Familiarity with version control systems (Git, GitHub, GitLab)
Benefits
- Professional development opportunities
- Training in the latest technologies, including AI, data analytics and machine learning.
Job title
Job type
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Not specified
Degree requirement
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