AI tools by job role
Occupations mapped to existing task pages. Developer wedge only — not a general job board.
- Software engineer
AI tools for day-to-day coding, review, tests, and debugging.
- Frontend engineer
Assistants and agents for React/Next, CSS, a11y, and UI tests.
- Backend engineer
API design, databases, and service debugging with AI assistance.
- Full-stack engineer
End-to-end product work across UI, APIs, and data layers.
- Platform engineer
Infra-as-code, Kubernetes, observability, and incident response.
- DevOps engineer
CI, containers, cloud, and on-call tooling amplified by AI.
- Site reliability engineer
Reliability, metrics, logging, and incident workflows.
- ML engineer
Training stacks, notebooks, and evaluation workflows.
- MLOps engineer
Pipelines, feature flags, and production ML observability.
- Data engineer
ETL, warehouses, and pipeline maintenance with AI help.
- Data scientist
Analysis notebooks, pandas/numpy, and model prototyping.
- AI / LLM engineer
Agents, RAG, evals, and MCP tooling for production LLM apps.
- Prompt / eval engineer
Prompt design and evaluation harnesses for LLM products.
- Security engineer
Static analysis, SBOMs, dependency hygiene, and fuzzing.
- Mobile engineer
iOS, Android, Flutter, and React Native coding assistants.
- iOS engineer
Swift/iOS-focused coding and review workflows.
- Android engineer
Kotlin/Android coding, tests, and refactoring.
- QA / test engineer
Unit, e2e, load, and fuzz testing with AI-assisted generation.
- Staff / principal engineer
Architecture-heavy coding, refactors, and cross-team review.
- Engineering manager
PR review, incident process, and team tooling discovery.
- Solutions architect
Cloud, APIs, and system design research with AI assistants.
- Cloud engineer
AWS/GCP/Azure and IaC workflows.
- Database engineer
Postgres, MySQL, Redis, and query/debug assistance.
- Developer advocate
Docs, demos, and API explanation workflows.
- Technical writer (eng docs)
Docs and API reference drafting with coding context.