AI Engineer
USD 90K-176K (estimate) Mid-level Full Time
Tasks
- Apply Retrieval Augmented Generation
- Build agentic multi step workflows
- Deliver end to end AI workflows
- Deploy services with secure CI and CD
- Design production AI systems
- Design relational data models
- Develop infrastructure as code
- Ensure security compliance and least privilege
- Evaluate model and system performance
- Implement human in the loop guardrails
- Implement streaming and tool calling
- Integrate LLMs into applications
- Integrate PostgreSQL with async ORM
- Manage token accounting and failure handling
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Bedrock | Anthropic | Azure OpenAI | CloudWatch | Databricks | Databricks SQL | Dependency Scanning | Document AI | Evaluation | FastAPI | Google Vertex | Google Vertex AI | Grafana | Human-in-the-loop | Infrastructure as Code | JWT | Keycloak | LLM | Linting | Multi-step Workflows | Multi-tenancy | OAuth | OCR | OIDC | ORM | OpenAI | OpenTelemetry | PostgreSQL | Python | RBAC | React | Retrieval-Augmented Generation | SBOM | SQL | STEP Workflows | Signed Builds | Snowflake | Terraform | Testing | The Loop | Threat modeling | Token Accounting | Tool-Calling | Type Checking | TypeScript | Vertex AI | Zero Trust | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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