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Senior Software Engineer, AI Platform

🕒 5 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $187.000 - $220.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da BigPanda, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship 5 dias atrás

Ainda aberta no site da BigPanda. Verificada 1 hora atrás.

Logo of BigPanda

BigPanda

201 - 500 funcionários

Fundada em 2012

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $20.000.000 Series E em 2022-08

Artificial Intelligence • Enterprise • SaaS

A BigPanda é uma empresa especializada em operações de TI e gerenciamento de incidentes com tecnologia de IA. Sua plataforma ajuda as organizações a aumentar a eficiência operacional e a confiabilidade dos serviços, automatizando workflows de gerenciamento de incidentes e transformando dados de TI em insights acionáveis. As soluções da BigPanda foram desenvolvidas para reduzir o excesso de alertas, aumentar a velocidade e a produtividade das equipes de operações de TI e melhorar a disponibilidade dos serviços. Com integrações com ferramentas como o ServiceNow, a BigPanda oferece um dashboard unificado de analytics para apoiar a colaboração orientada por dados e a consciência situacional. Empresas globais confiam na BigPanda para otimizar as operações de TI e o gerenciamento de incidentes, transformando processos manuais por meio de automação e tecnologias avançadas de IA.

Descrição

• Design, build, and ship platform capabilities powering AI across BigPanda's products • Own meaningful features end to end from customer problem discovery through technical decisions, implementation, validation, launch, issue response, and iteration • Build production-grade backend services, APIs, data ingestion pipelines, enterprise integrations, web applications, workflow systems, and automation platforms • Build and own secure, reliable ingestion of customer data from systems such as ServiceNow and Snowflake • Architect and implement AI-native capabilities using LLMs, prompting, tool calling, agent orchestration, RAG, vector search, knowledge graphs, embeddings, and structured/unstructured enterprise data • Use AI coding platforms such as Cursor and Claude Code in the development workflow • Write prompts for development, debugging, product behavior, agent execution, data extraction, reasoning workflows, and customer-facing AI experiences • Propose, design, and own features from concept through delivery, including customer discovery, technical design, implementation, manual validation, release, bug resolution, and iteration • Work directly with customers, GTM, product, and engineering teams to identify high-value problems and translate them into product capabilities • Make tradeoffs between speed, quality, reliability, cost, latency, scalability, and customer impact • Respond rapidly and transparently to bugs, regressions, and customer-impacting issues • Collaborate through paired development, design discussion, code review, debugging, and technical debate • Contribute to internal tools and processes and raise the team's standards for velocity, technical judgment, ownership, and customer-focused execution • Shape the strategic roadmap and technical choices influencing customer experience across the BigPanda platform

🎯 Requisitos

• Strong software engineering fundamentals across backend, full-stack, distributed systems, data pipelines, APIs, or product engineering • Hands-on experience building AI-enabled product capabilities with LLMs, RAG, vector databases, embeddings, agents, workflow automation, knowledge systems, or related technologies • High agency and ability to learn quickly and make forward progress independently • Extreme ownership of outcomes, customer impact, reliability, and follow-through • Ability to ship, learn, and iterate quickly while maintaining sound engineering judgment • Customer curiosity and comfort using customer feedback to shape priorities • Product judgment focused on meaningful customer value • Strong practical prompting skills, including prompt iteration, context design, tool-use instructions, structured outputs, and failure-mode analysis • High proficiency with modern AI development tools such as Cursor, Claude Code, ChatGPT, or similar platforms • Ability to architect and build safe enterprise agent systems that reason, retrieve context, call tools, execute actions, and handle errors • Ability to challenge ideas directly while remaining considerate and collaborative • Comfort with uncertainty, changing priorities, incomplete requirements, and fast iteration cycles • Excitement about applying AI to enterprise IT Operations problems • Familiarity with data ingestion, indexing, synchronization, and unstructured data processing • Familiarity with ServiceNow, Snowflake, ITSM, monitoring, alerting, and incident management integrations • Familiarity with knowledge graphs, agent memory, and enterprise knowledge modeling • Familiarity with authentication, authorization, OAuth, SSO, API keys, and RBAC • Familiarity with TypeScript / Node.js backend services • Familiarity with S3, SQS, Lambda, and AWS-based service architecture • Familiarity with React / Next.js customer-facing applications • Familiarity with agent workflow engines and agent tracing tools such as LangSmith • Familiarity with prompt engineering, context engineering, and tool-use design • ITOps domain expertise in change risk, ITSM, and incident prevention use cases • Visa sponsorship is not available for this position

🏖️ Benefícios

• Comprehensive health coverage • Parental leave • Competitive equity • Remote-first environment • Unlimited PTO • Twelve (12) paid holidays throughout the year • #PandaParent support: Financial assistance for fertility, adoption, and surrogacy expenses • Up to eighteen (18) weeks of fully paid leave for birthing parents • Up to twelve (12) weeks for non-birthing parents • Financial planning services • Employee learning & development budget • Values-based recognition (quarterly and annually) • Social community & ERG programs • Dog friendly office • Lunches provided in office • Flexible work environment • Work-from-home stipend to support remote work arrangements • Values-based culture • Career development opportunities • Bonus compensation • One compensation review cycle per year

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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