AI & Analytics Engineer (Software Engineer – Full stack)
USD 125K-135K Entry-level Full Time
Tasks
- Apply KPI definitions across reports
- Assist in building AI powered applications and agents
- Automate routine tasks using AI components
- Build and maintain ETL/ELT pipelines
- Build user facing interfaces using frontend frameworks
- Contribute improvements to AI tools dashboards and pipelines
- Deploy test and monitor AI solutions
- Develop GraphQL APIs
- Develop and maintain semantic models datasets and dashboards
- Develop backend services and REST APIs
- Follow source control code review documentation and testing practices
- Gather requirements from stakeholders
- Implement and maintain row level security and access controls
- Ingest and transform data into centralized platforms
- Integrate AI capabilities into business workflows
- Iterate AI applications based on user feedback
- Monitor AI outputs and data pipelines for accuracy and reliability
- Optimize queries and data structures for performance
- Provide Level 3 support for software products
- Stay current with emerging AI and analytics technologies
- Support data security privacy and governance compliance
- Support integration of AI applications with enterprise systems
- Translate documented business requirements into workflows
- Validate accuracy completeness and structure of pipeline outputs
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | ASP.Net Core | Agile | Angular | Automated testing | Azure | Azure AI | C# | CI/CD | Code review | DAX | DAX Measures | Data Modeling | Data Pipelines | Data models | Django | ELT | ETL | Express | FastAPI | Git | GitHub | GraphQL | Machine Learning | Node.js | Power BI | Python | REST API | React | Row Level Security | SQL | Semantic data | Semantic data models | Spring Boot | Vue
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Software Engineer | Stack Developer
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