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AI Developer
Skills
Computer ScienceBusiness AnalyticsChange Data CaptureData AnalyticsDatabasesEnterprise SystemsHealthcare
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years of experience in software engineering data engineering or AI/ML development
- Hands-on experience building AI or data-driven applications in enterprise environments
- Strong proficiency in Python SQL or Java
- Strong RAG experience
- Strong ELT/ETL experience
- Experience with Docker Kubernetes and Terraform
- Experience with data pipelines
- Experience with cloud platforms such as AWS Azure or GCP
- Experience with vector databases or retrieval systems
- Bachelor's degree in Computer Science Software Engineering Data Science Electrical Engineering or Computer Engineering
Nice to have
- Cloud-native
- Scalability-focused
- Collaborative
- Enterprise-minded
- Cost-aware
Day to day
- Design and build AI-enabled solutions that use enterprise data across cloud and hybrid environments.
- Develop scalable AI applications with retrieval-augmented generation vector search and cloud-native ML/AI patterns.
- Build and maintain data pipelines and integrate with enterprise systems to support production AI and analytics workloads.