Senior Software Developer, AI Data Engineer
COP 18000K-18000K (estimate) Senior-level Full Time
Tasks
- Build observability and alerting for data pipelines
- Build vector storage and embedding pipelines
- Create graph based knowledge representations
- Define contracts between AI services and data systems
- Define data architecture
- Design AI evaluation workflows for benchmarking
- Design scalable data ingestion and integration pipelines
- Develop agent memory systems and pipelines
- Establish data governance access control lineage and security
- Implement data quality validation monitoring and testing
- Implement hybrid search and retrieval workflows
- Monitor troubleshoot and optimize AI data workflows
- Set up metadata management and freshness monitoring
Perks/Benefits
- Funeral assistance
- Home office stipend
- Indefinido contract
- Internet allowance
- Life insurance
- Paid Time Off for Recognition
- Personal Time Off
- Prepaid medicine
- Remote work
- Sick leave top-up
- Training budget
- Vacation upgrade after 5 years
- Work-life balance
Skills/Tech-stack
APIs | AWS | AWS AgentCore | AWS Bedrock | AWS CDK | AWS Lambda | AWS OpenSearch | AWS OpenSearch Serverless | AWS S3 | AWS Textract | Amazon EKS | Async workflows | CloudFormation | Data Governance | Data Lineage | Data Quality | Data integration | Distributed Systems | DynamoDB | Embedding Pipeline | Eventual Consistency | GitHub Actions | Graph Database | Graph based storage | Graph-based | Hybrid search | Idempotency | Incident Response | Infrastructure as Code | Jira | Knowledge graph | Langfuse | Langsmith | Messaging Systems | Metadata Management | Microservices | NestJS | Observability | OpenSearch Serverless | Python | RAG | Retries | Spark | Terraform | TypeScript | Vector Database | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Senior Software Engineer | Software Engineer
Regions
Countries
States
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