AI Engineer (Full Stack) - R&D IT
Tasks
- Build end to end R and D IT solutions
- Create modern user interfaces
- Design build and ship full stack applications
- Develop AI-enabled applications
- Develop scalable services and APIs
- Embed AI into real workflows with traceability and security
- Ensure governed AI delivery with observability security and maintainability
- Evaluate AI impact on software practices
- Implement workflow automations
- Integrate internal tools and vendor platforms through APIs
- Integrate machine learning models with serving patterns
- Monitor and maintain production systems
- Own full software lifecycle
- Participate in architecture reviews and design discussions
- Translate requirements into usable products
Perks/Benefits
- 401k employer match
- Comprehensive medical, dental and vision coverage
- Disability coverage
- Employee Assistance Program (EAP)
- Life insurance
- Paid personal and family care leave
- Paid sick time
- Paid vacation
- Profit sharing
Skills/Tech-stack
AWS | Access Controls | Audit Logging | Authentication | Authorization | CI/CD | Cloud Security | Containerization | Data Modeling | Docker | Evaluation | Express | FastAPI | Fine Tuning | Human-in-the-loop | Infrastructure as Code | Language Models | Large Language Models | Monitoring | MySQL | Node.js | Observability | PostgreSQL | Prompt orchestration) | Python | REST API | React | Retrieval-Augmented Generation | Secure Design | Source Control | Testing | TypeScript | Workflow automation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer
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