AI Engineer (Contractor)
Tasks
- Build RAG retrieval systems
- Build and maintain data pipelines
- Create observability for AI systems
- Design and build production AI systems
- Develop MCP servers and tool interfaces
- Ensure secure data handling and compliance
- Expose governed datasets and APIs
- Implement MLOps automation for models and agents
- Implement agentic applications and multi agent orchestration
- Maintain engineering documentation and standards
- Monitor quality drift and incidents
- Set up CI CD for AI deployments
Perks/Benefits
- International networking
- Refer a friend bonus
- Teambuilding activities
- Training and upskilling
- Unlimited course access
Skills/Tech-stack
Agents SDK | Airflow | Alerting | Anthropic Agents SDK | Apache Kafka | Apache Spark | BigQuery | CI/CD | Cloud Build | Composer | CrewAI | Dagster | Data Versioning | Deep learning | Docker | Embedding Models | GitHub | GitHub Actions | Graph Databases | Hybrid search | Infrastructure as Code | Kubernetes | Langgraph | Llamaindex | MLOps | Machine Learning | Model Context Protocol | Model versioning | Observability | OpenAI Agents | OpenAI Agents SDK | PGVector | Pinecone | Prompt versioning | Python | RAG | Retrieval-Augmented Generation | SQL | Terraform | Tracing | Vector Databases | Weaviate | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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