AI engineer job description template

[Senior] AI engineer, [Full-time / Contract (term) / Fractional (days a month)]
Location: [Remote, overlap hours with time zone / Hybrid, City / On-site, City]
Pay: [range and currency, or day rate for contract]

About us
[Two sentences: what the company does and why this role matters now.]

Why this role exists
[One honest paragraph about the current state.]

What you'll own in the first 90 days

- [e.g. Ship one LLM feature to production behind an evaluation set]
- [e.g. Build retrieval over internal documents with access control]
- [e.g. Add logging, cost tracking and guardrails]

Our stack
[Model providers] · [Retrieval: vector store / search] · [Python / TypeScript] · [Orchestration framework] · [Evaluation tooling] · [Cloud] · [Observability]

Must have (five or fewer)

- Shipped LLM or ML features to production
- Strong Python or TypeScript
- Retrieval and prompt design
- Evaluation: test sets, regression checks
- Clear written communication about trade-offs

Nice to have

- [Fine-tuning] · [Agents and tool use] · [MLOps]

How we work

- [Team, who you report to, on-call, overlap hours, async norms]

Hiring process

1. [Intro call] 2. [Scenario interview on a real, anonymised problem] 3. [Team conversation] 4. [Offer]

• Lead with outcomes, not a long list of requirements.
• Name your real stack so the right people self-select.
• State the engagement type: full-time, contract or fractional.
• Publish a pay range. For public pay data, see our rates and salary guide, which links only to BLS and ONS sources.
• Hiring across borders full-time? See hiring internationally through Deel.

Copy the template, edit the brackets, then post your role free on carbon.talent and review vetted profiles.