Engineering
AI / ML Engineer
Build and improve the AI models that make the agents great at scale. Fine-tuning, prompt engineering, eval pipelines.
Hybrid
:
Mountain View, CA 94043, USA
Part-time
$130,000–$165,000 · Equity · $2,000 home office budget
Posted:
About the role:
Own the AI layer of TaskOff — from prompt engineering and fine-tuning to evaluation and reliability. You'll make our message generation smarter, faster, and more personalised at scale.
What we're looking for:
MUST HAVE
3+ years working with LLMs in production (OpenAI, Anthropic APIs)
Strong prompt engineering and evaluation skills
Experience with fine-tuning, RAG, or agentic pipelines
Python proficient; comfortable shipping backend features
Ability to ship fast without sacrificing reliability
NICE TO HAVE
Experience with web scraping, anti-bot systems, or data enrichment pipelines
Familiarity with LLM APIs (OpenAI, Anthropic) and prompt engineering
Previous B2B SaaS or sales tech experience
Open source contributions or a side project you're proud of
Our Stack:
Compensation & equity:
Base: $130,000–$165,000 USD
Equity: 0.1%–0.35% options (4-year vest, 1-year cliff)
$2,000 home office budget (day one)
$1,000 annual learning budget
Full health, dental & vision (US) or equivalent stipend
What to expect:
Apply (5 min): CV + link to work (GitHub, paper, or project)
Intro call (30 min): chat with our CTO
Paid task (2–3 hrs): $100 paid regardless of outcome
Final interview (60 min): meet 2–3 people. Full process under 2 weeks.

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