Staff Full Stack AI Engineer
Tasks
- Apply AI evaluation frameworks and guardrails
- Build agentic workflows and intelligent automation
- Collaborate with clients and stakeholders on delivery expectations
- Conduct code reviews and establish best practices
- Design develop and deploy scalable web applications
- Develop automated testing strategies
- Discover scope architect and deliver full stack applications
- Document architectural decisions and trade-offs
- Implement RAG systems
- Implement infrastructure as code and deployment pipelines
- Integrate and deploy LLM capabilities
- Provide technical leadership and mentorship
- Stay current with AI and web technology advancements
Perks/Benefits
- 401k matching
- Continuing education
- Flexible PTO
- Health and wellness programs
- Health, dental, and vision insurance
- Remote work
- Travel for client meetings
- Work from home
Skills/Tech-stack
AI Evaluation | AI Observability | ASP.Net Core | AWS | Agentic Architectures | Anthropic API | Application Security | Authentication | Azure | CI/CD | Cloud platform | Context API | Cypress | DevOps | Embeddings | Fine Tuning | Function Calling | Go | Google Cloud | Google Cloud Platform | Infrastructure as Code | JavaScript | Jest | LLM integrations | MCP | Model Distillation | Model guardrails | Next.js | Node.js | OpenAI API | Prompt engineering | REST APIs | RTK Query | React | React Testing Library | React testing | Redux | Retrieval-Augmented Generation | Ruby on Rails | Testing Library | Tool-Calling | TypeScript | Vector Databases | Vitest | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer | Learning Engineer | Machine Learning Engineer | Stack Engineer
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