3 дня назад
Senior AI Engineer
108 400 - 129 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (LLM/Enterprise AI): Building internal AI-powered solutions and integrating them into Sales, Marketing, and Customer Support workflows with an accent on prompt engineering, agentic architectures, and measurable business outcomes. Focus on diagnosing process constraints, selecting cost-effective models, designing safety guardrails, and delivering reliable AI systems from discovery through deployment.
Location: Remote, United States; the listed base salary range applies to United States residents only.
Salary: $108,400–$129,600 USD annually
Company
provides an intelligent orchestration platform for DevSecOps, helping organizations improve developer productivity, operational efficiency, security, compliance, and digital transformation.
What you will do
- Diagnose business problems, map workflows, identify constraints, and determine whether AI is the appropriate solution.
- Own AI initiatives end to end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
- Design and ship AI-powered solutions, prototypes, integrations, and workflow improvements with measurable business outcomes.
- Integrate AI capabilities into existing systems using APIs, orchestration tools, modern AI platforms, and the Duo Agent Platform.
- Partner with Sales, Marketing, Customer Support, and other stakeholders to align technical solutions with business needs.
- Evaluate tools, document reusable patterns, define success metrics, and contribute to technical direction.
Requirements
- Must be based in the United States for this role's listed salary eligibility.
- Strong coding ability in Python, JavaScript/TypeScript, or a similar modern scripting language.
- Experience with REST APIs, GraphQL, enterprise integrations, data models, and business workflows.
- Practical expertise in prompt engineering, model selection, RAG, context management, agentic architectures, evaluation, and production reliability.
- Ability to design AI safety controls including input validation, output filtering, access controls, prompt-injection defenses, and data-leakage prevention.
- Experience owning complex initiatives from discovery through delivery and measuring business, flow, adoption, and ROI outcomes.
Nice to have
- Experience with the 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.
- Experience with n8n, Make, Workato, or similar low-code/no-code orchestration tools.
- Startup or high-growth company experience and experience mentoring junior engineers.
Culture & Benefits
- All-remote, asynchronous work environment guided by collaboration, results, efficiency, iteration, transparency, diversity, inclusion, and belonging.
- Flexible paid time off and parental leave.
- Health, financial, and well-being benefits.
- Equity compensation and an employee stock purchase plan.
- Growth and development fund and team member resource groups.
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