AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (AI): Building internal AI-powered solutions to drive measurable business outcomes across Sales, Marketing, and Customer Support with an accent on systems thinking and end-to-end ownership. Focus on designing agentic architectures, optimizing organizational flow, and integrating LLMs into enterprise workflows.
Location: Remote (Global / LATAM / USA)
Salary: $108,400 — $129,600 USD (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 and map workflows to determine if AI is the appropriate intervention before building solutions.
- Own AI initiatives end-to-end from stakeholder discovery and technical design through implementation and deployment.
- Design and ship AI-powered prototypes quickly using APIs, orchestration tools, and the Duo Agent Platform.
- Improve organizational throughput by reducing bottlenecks and measuring success via flow metrics and ROI.
- Act as "Customer Zero" by leveraging ’s AI offerings and feeding usage insights back to R&D.
- Partner with cross-functional stakeholders to align on outcomes and bridge technical and non-technical perspectives.
Requirements
- Proficiency in Python, JavaScript, or TypeScript and a solid understanding of REST APIs and GraphQL.
- Deep practical experience in prompt engineering, managing context windows, and structuring multi-turn interactions.
- Expertise in model selection, RAG architecture, and agentic patterns including multi-agent orchestration and guardrails.
- Strong understanding of AI safety, including input validation, prompt injection defenses, and data leakage prevention.
- Ability to apply systems thinking to identify constraints and root causes in complex business processes.
- Familiarity with enterprise systems such as Salesforce, Marketo, Zendesk, Workato, and Glean.
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, flow metrics, or Theory of Constraints thinking.
- Experience with low-code/no-code orchestration tools like n8n or Make.
- Previous experience in a startup or high-growth company environment.
Culture & Benefits
- All-remote and asynchronous work environment.
- High-performance culture driven by results, efficiency, and transparency.
- Values-driven environment focusing on collaboration, diversity, inclusion, and belonging.
- Integration of AI as a core productivity multiplier in all daily workflows.
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