AI Engineer (Enterprise AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (Enterprise AI): Delivering internal AI-powered solutions to drive business outcomes with an accent on workflow mapping, constraint identification, and end-to-end implementation. Focus on building agentic architectures, optimizing LLM cost-performance trade-offs, and integrating AI into enterprise business systems.
Location: Remote (Global)
Salary: $108,400 - $129,600 USD (base salary for US residents)
Company
is an intelligent orchestration platform for DevSecOps that enables organizations to increase developer productivity and accelerate digital transformation.
What you will do
- Diagnose business problems by mapping workflows and identifying constraints to determine if AI is the appropriate solution.
- Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
- Develop and ship AI-powered prototypes and production-grade solutions rapidly to deliver measurable business value.
- Integrate AI capabilities into enterprise systems (CRM, Marketing, Support) using APIs, orchestration tools, and the Duo Agent Platform.
- Serve as "Customer Zero" by utilizing 's AI offerings and providing usage insights back to R&D.
- Define and track success through business metrics, flow metrics, and ROI.
Requirements
- Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript) and a solid understanding of REST APIs and GraphQL.
- Deep practical experience in prompt engineering, model selection (cost vs. performance), and RAG architectures.
- Experience with agentic architecture patterns, including tool use, multi-agent orchestration, and human-in-the-loop designs.
- Ability to design AI safety guardrails, including input validation, output filtering, and prompt injection defenses.
- Familiarity with enterprise business systems like Salesforce, Marketo, Zendesk, or Workato.
- Proven track record of owning complex technical initiatives from discovery through delivery independently.
Nice to have
- Experience with platform and CI/CD workflows.
- Background in consulting, solutions engineering, or customer-facing technical roles.
- Familiarity with value stream mapping or Theory of Constraints.
- Experience with low-code/no-code orchestration tools like n8n or Make.
- Previous startup or high-growth company experience.
Culture & Benefits
- All-remote, asynchronous work environment guided by values of transparency and collaboration.
- Flexible Paid Time Off and equity compensation through an Employee Stock Purchase Plan.
- Growth and Development Fund to support continuous learning and skill advancement.
- Comprehensive health, finance, and well-being benefits for full-time employees.
- Inclusive culture with Team Member Resource Groups.
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