Applied AI Engineer (all genders)
Tasks
- Apply prompt engineering for development tasks
- Assess reliability and failure modes
- Build AI abstraction layers
- Build reusable components and AI tooling standards
- Create AI generated tests
- Define AI workflow KPIs
- Deliver end to end in Agile sprints
- Implement application layers to connect full stack systems to agentic backends
- Integrate LLM APIs into production applications
- Manage token limits and latency
- Perform AI accelerated code review
- Present AI productivity and quality metrics
- Support production operations and troubleshoot issues
- Use AI assisted debugging
- Use AI coding assistants in daily delivery
- Validate AI generated output quality
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Agile | Azure | CI/CD | CSS | Docker | GCP | HTML | Java | JavaScript | LLM APIs | Langchain | Langgraph | Latency optimization | NoSQL | NoSQL Databases | Prompt engineering | Python | RAG | SQL | SQL Databases | Token Management | TypeScript | Web Technologies
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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