AI Engineer (Contractor)
Tasks
- Build MLOps automation pipelines
- Build agentic systems
- Build data ingestion transformation and export pipelines
- Design production AI ML systems
- Develop MCP model context protocol servers
- Ensure secure data handling and compliance
- Expose governed datasets and APIs
- Implement AI observability and monitoring
- Implement retrieval augmented generation systems
- Maintain documentation and engineering standards
Perks/Benefits
- International networking
- Refer a friend bonus
- Social activities
- Teambuilding events
- Training and upskilling
- Unlimited online courses
Skills/Tech-stack
Agents SDK | Airflow | Alerting | Apache Spark | CI/CD | Cloud Build | Composer | CrewAI | Dagster | Docker | Embeddings | GDPR | GitHub Actions | Google BigQuery | Infrastructure as Code | Kubernetes | Langgraph | Llamaindex | MCP | Model Context Protocol | Monitoring | Observability | OpenAI Agents | OpenAI Agents SDK | PGVector | Pinecone | Python | RAG | Retrieval-Augmented Generation | SQL | Terraform | Tracing | Vector Databases | Vector Search | Weaviate | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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