2 дня назад
Principal AI Engineer (AI)
150 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Engineer (AI/Python): Building production infrastructure, agent systems, and internal tooling for AI-driven transformation across a portfolio of software businesses with an accent on reliability, observability, controls, and measurable commercial impact. Focus on designing autonomous execution architectures, evaluating non-deterministic systems, optimizing model and infrastructure economics, and shipping solutions in unfamiliar software environments.
Location: Los Angeles, CA; candidates must be based in the Los Angeles area. Hybrid work is required.
Salary: $150,000–$350,000 base salary per year, plus equity
Company
A PE-backed holding company acquires mid-market software businesses and rebuilds their operations and products around AI through a central technology capability.
What you will do
- Build core infrastructure for production AI agents, including task execution, context management, external system interactions, and coordination.
- Develop systems that support increasingly complex software engineering work while maintaining execution controls, access permissions, and human oversight.
- Create internal tooling to assess unfamiliar software estates, identify technical constraints, and locate high-leverage AI opportunities.
- Implement isolation, permissions, spend management, escalation paths, testing, measurement, and observability for reliable production AI systems.
- Build abstraction layers that allow models and infrastructure to evolve without repeated downstream application rewrites.
- Work with portfolio engineering teams to design and ship transformation solutions while improving deployed system performance and economics.
Requirements
- 7+ years of software engineering experience, including platform, infrastructure, or complex production systems work.
- Deep Python expertise and strong experience with cloud infrastructure, containers, and distributed systems.
- Hands-on experience building production AI or agentic systems beyond basic LLM API integration.
- Strong systems design judgment around reliability, observability, failure modes, testing, and operational ownership.
- Ability to take ambiguous problems from architecture through implementation and work effectively with senior engineering leaders.
- Clear technical perspectives on agent architecture, evaluation, model selection, cost, and build-versus-buy decisions.
Nice to have
- Experience with developer tooling, legacy software, or technology transformation.
Culture & Benefits
- Hands-on individual contributor work spanning central technology and portfolio-company transformation.
- Production-focused environment emphasizing engineering quality and measurable business impact over research alone.
- Permanent hybrid role based in the Los Angeles area.
- Equity in addition to the base salary.
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