
1001 - 5000 funcionários
🤝 B2B
☁️ SaaS
B2B • SaaS
Appian é a plataforma unificada para a mudança. Aceleramos os negócios dos nossos clientes ao descobrir, projetar e automatizar seus processos mais importantes. A Plataforma Appian de Baixo Código combina as principais capacidades necessárias para realizar o trabalho de forma mais rápida: Mineração de Processos + Fluxo de Trabalho + Automação, em uma plataforma unificada de baixo código. A Appian é aberta, de nível empresarial e confiável por líderes da indústria. Para mais informações, visite www.appian.com.
🕒 6 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $200.000 - $350.000 / ano
⏰ Tempo Integral
🔴 Especialista
🤖 Engenheiro de IA
🦅 Patrocina Visto H1B
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Appian Corporation, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship 6 dias atrás
Ainda aberta no site da Appian Corporation. Verificada 1 hora atrás.

1001 - 5000 funcionários
🤝 B2B
☁️ SaaS
B2B • SaaS
Appian é a plataforma unificada para a mudança. Aceleramos os negócios dos nossos clientes ao descobrir, projetar e automatizar seus processos mais importantes. A Plataforma Appian de Baixo Código combina as principais capacidades necessárias para realizar o trabalho de forma mais rápida: Mineração de Processos + Fluxo de Trabalho + Automação, em uma plataforma unificada de baixo código. A Appian é aberta, de nível empresarial e confiável por líderes da indústria. Para mais informações, visite www.appian.com.
• Architect, build, and optimize high-performance production LLM systems • Spearhead strategic technology changes and code refactoring across Appian’s codebase and AI systems • Use AI coding tools to generate, review, and critically evaluate AI-assisted code • Drive technical story breakdowns, acceptance criteria, and architectural design across complex multi-tier and AI-powered application layers • Build prototypes to de-risk novel AI approaches and establish engineering standards • Manage product availability, latency, scalability, and efficiency through reliability engineering and system tuning • Promote development best practices across the department • Perform detailed code reviews and build automation frameworks to prevent recurring problems • Coach and mentor engineers at multiple levels and address team skill gaps • Share domain expertise and publish technical content to Engineering’s permanent documentation site
• Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline; equivalent experience is not accepted in lieu of a degree • 10+ years of relevant software development experience with a BS, or 8+ years of experience paired with a Master of Science in Computer Science or related field • Deep hands-on experience designing and operating production LLM systems • Expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability • Experience using AI coding assistants and evaluating, coaching others on, and selectively applying AI-generated code in production engineering • Strong distributed-systems, API, security, and reliability foundations • Ability to contribute at a senior individual contributor level • Ability to drive technical decisions and shape engineering practices beyond a single team or project • Experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment • Exceptional ability to communicate highly technical architectures verbally, visually, and in writing • Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred • Experience with enterprise platforms such as Salesforce or ServiceNow is valued
• Discretionary bonus may be awarded based on individual and company performance • 401(k) plan with company match • Flexible time off • Paid parental leave • Medical, dental, and vision plans • Life insurance • Disability insurance • Wellness programs • Flexible spending accounts • Health savings account contributions • Employee referral bonus program • Learning and development resources • Training and development during onboarding • Continuous learning and mentorship • First-Friend program • Leadership program for new and aspiring managers • Appian University department training library • Skills-based training • Tuition reimbursement • Employee-led affinity groups • Employee Assistance Program (EAP) with free mental health support • Employee Stock Purchase Program (ESPP) • Retirement/pension plan • Wellness dollars • Family-forming benefits • Certain positions may be eligible for equity awards
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