Software Engineer, Generative AI Engineering
Tasks
- Build integrations with internal engineering systems and developer tools
- Build operate improve enterprise generative AI platform capabilities
- Contribute to CI CD pipelines infrastructure as code Kubernetes operations
- Create documentation for platform behavior security operations and limitations
- Design implement backend services APIs integrations for secure reliable LLM use
- Develop MCP architecture and enterprise authorization patterns
- Develop production grade services in Python or TypeScript
- Evaluate generative AI frameworks model providers and gateway technologies
- Implement AI gateway policy enforcement observability cost control
- Integrate generative AI with enterprise identity and access management
Perks/Benefits
- Cross-functional collaboration
- Hybrid work environment
- Onsite at least 3 days per week
- Professional documentation
Skills/Tech-stack
AI gateway | API Gateway | Access Management | Amazon Bedrock | Anthropic | Architecture | Azure OpenAI | Backend APIs | CI/CD | Cloud infrastructure | Code review | Debugging | Docker | Entra ID | Envoy | Go | Google Gemini | Google Vertex | Google Vertex AI | Identity and Access Management | Identity and access | Incident Response | Infrastructure as Code | Java | Kong | Kubernetes | LLM APIs | Litellm | Logging | Microsoft Entra | Microsoft Entra ID | OAuth2 | Observability | OpenAI | OpenID Connect | Python | RBAC | SAML | System design | Testing | TypeScript | Vertex AI | “as-code”
Education
N/A
Roles
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