3 дня назад
AI Engineer
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (AI/Agent Systems): Building industry-specific GPTs, AI-native systems of record, and production agents that replace customer workflows with an accent on model selection, workflow instrumentation, and reusable evaluation infrastructure. Focus on shipping forward-deployed agents, fine-tuning and routing frontier and open models, and creating the AI engineering playbook for multiple software businesses.
Location: Remote - US
Salary: $200K–$250K plus equity
Company
is a stealth holding company acquiring and operating software businesses in overlooked, mission-critical industries and rebuilding them as AI-native companies.
What you will do
- Build industry-specific GPTs that encode domain expertise across portfolio verticals.
- Embed AI-native functionality and agents into systems of record to replace core customer workflows.
- Move legacy systems-of-record datasets into new AI-native systems.
- Ship a working domain-specific agent into a live customer environment within the first 30 days.
- Build evaluation infrastructure to measure whether agents are replacing human workflows.
- Create a repeatable AI engineering playbook, model stack, evaluation harness, and infrastructure for future portfolio companies while managing embedded AI engineers as a player-coach.
Requirements
- Production experience building and shipping software used by real customers.
- Experience with frontier and open models, including Claude, GPT, and Gemini, in production.
- Strong judgment on when to use fine-tuning, prompting, RAG, agents, or evaluation harnesses, supported by quantitative reasoning.
- Forward-deployed engineering experience, including visiting customer sites, observing workflows, and rebuilding them with software.
- Ability to work hands-on in the codebase in ambiguous, small-team environments.
Culture & Benefits
- Remote work within the US.
- 90% building and 10% managing, with a strong emphasis on hands-on engineering.
- Work with real customers, revenue, and P&Ls rather than research prototypes.
- Compensation includes equity.
- Commitment to building a diverse and inclusive workforce.
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