Senior AI Software Engineer
Tasks
- Automate deployment workflows
- Build CI/CD pipelines
- Build agentic AI systems
- Conduct code reviews
- Contribute to technical design reviews
- Create reproducible development environments
- Deploy AI agents
- Deploy containerized applications
- Design generative AI solutions
- Design scalable testable systems
- Develop LLM-powered applications
- Establish technical patterns
- Evaluate AI agent performance
- Implement infrastructure-as-code
- Implement retrieval-augmented generation
- Implement tool function calling
- Integrate secure AI APIs
- Monitor AI systems in production
- Orchestrate agent workflows
- Provide technical mentorship
- Tune model and system performance
- Write clean documentation
Perks/Benefits
- Family leave
- Health care plan
- Life insurance
- Paid time off
- Retirement plan
- Training and development
- Wellness resources
Skills/Tech-stack
AI SDK | API Integration | AWS CDK | Agent Orchestration | Amazon Bedrock | Anthropic API | CI/CD | Cloud Native | Cloud Native Services | CloudFormation | Context engineering | DevSecOps | Docker | FastAPI | Gemini API | Generative AI | GitLab CI | Google Vertex | Google Vertex AI | Infrastructure as Code | Jest | Language Models | Large Language Models | Model Evaluation | Monitoring | Native services | Next.js | Nx | OpenAI API | Playwright | Prompt engineering | Pydantic | Python | Retrieval-Augmented Generation | Terraform | Tool-Calling | TypeScript | Vercel AI SDK | Vercel AI) | Vertex AI | Vite | “as-code”
Education
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