Commercial Solution Architect responsible for sales execution and engagement for Digital Benefit Solutions in a SaaS company. Collaborating closely with Client Success and Sales teams to drive adoption and revenue.
GP
Hybrid Advanced AI Integration Engineer, Python
Posted last month
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
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