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Lead AI Engineer
204 500 - 290 000$
Описание вакансии
Текст:
TL;DR
Lead AI Engineer (AI): Transforming into an AI-native organization by architecting and operationalizing trusted, production-grade AI systems that reshape how work gets done and drive measurable enterprise impact with an accent on translating ideas into production-ready AI agents and workflows. Focus on complex, multi-step agentic workflows and ensuring predictable behavior, reliability, and compliance.
Location: Remote-first (United States)
Salary: $204,500 - $290,000 (USD)
Company
is building the world’s leading AI-native Digital Experience Platform as a remote-first company built on trust, transparency, and creativity.
What you will do
- Serve as the primary AI engineering partner to the CEO and executive leadership team, translating ideas into production-ready AI agents and workflows.
- Independently take ideas from concept to production, shaping problem statements, designing system architecture, and operationalizing solutions.
- Design and implement complex, multi-step agentic workflows, including RAG, tool use, memory strategies, and cross-system automation.
- Develop production-grade AI systems using modern LLMs, orchestration frameworks, and internal tooling, with attention to scalability, performance, and observability.
- Operationalize AI responsibly by implementing guardrails, structured evaluations, monitoring, and validation layers to ensure predictable behavior, reliability, and compliance.
- Partner closely with Security and Legal to properly gate sensitive use cases, implementing access controls, audit logging, and enterprise-grade governance patterns.
Requirements
- 7-10+ years of professional software engineering experience designing, building, and operating complex production systems in cloud environments.
- Proven experience building and deploying AI-powered systems in production, including agent-based or multi-step workflows.
- Strong proficiency in modern programming languages (e.g., Python, TypeScript) with the ability to write clean, maintainable, production-quality code.
- Deep engineering discipline across clean architecture, distributed systems, APIs, CI/CD, testing strategies, and production observability.
- Experience partnering directly with senior or executive stakeholders, translating ambiguous ideas into scalable, technically sound solutions.
Nice to have
- Familiarity with AI governance, data classification, prompt injection risks, access control models, and enterprise compliance standards.
Culture & Benefits
- Every permanent employee receives equity (RSUs) in .
- Comprehensive medical, dental, and vision plans for full-time employees and their dependents.
- Flexible vacation, paid holidays, and a sabbatical program.
- Access to mental health resources, therapy and coaching.
- A 401(k) with 100% employer match (up to $6,000/year) in the U.S.
- Localized support for work and wellness expenses.
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