
51 - 200 funcionários
Fundada em 2009
💼 Consultoria
📦 Logística
📣 Marketing
Consulting • Logistics • Marketing
A Coalition Technologies é uma agência de marketing digital líder, especializada em otimização de mecanismos de busca (SEO), publicidade pay-per-click (PPC) e design de sites. Com um histórico comprovado de sucesso, a empresa gerou um crescimento substancial de receita para clientes de vários setores, aproveitando estratégias orientadas por dados e tecnologia avançada. A Coalition foca em construir relacionamentos duradouros com os clientes, fornecendo soluções personalizadas que maximizam sua presença online e lucratividade.
🕒 2 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $130.000 - $195.000 / ano
⏰ Tempo Integral
🟠 Sênior
🤖 Engenheiro de IA
👻 Score fantasma 2%
🗣️🇺🇸🇬🇧 Inglês obrigatório
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51 - 200 funcionários
Fundada em 2009
💼 Consultoria
📦 Logística
📣 Marketing
Consulting • Logistics • Marketing
A Coalition Technologies é uma agência de marketing digital líder, especializada em otimização de mecanismos de busca (SEO), publicidade pay-per-click (PPC) e design de sites. Com um histórico comprovado de sucesso, a empresa gerou um crescimento substancial de receita para clientes de vários setores, aproveitando estratégias orientadas por dados e tecnologia avançada. A Coalition foca em construir relacionamentos duradouros com os clientes, fornecendo soluções personalizadas que maximizam sua presença online e lucratividade.
• Lead the technical design and delivery of AI agents, reusable skills, and automation workflows used by Coalition’s internal teams. • Translate complex, ambiguous business processes, judgment calls, and edge cases into reliable, maintainable software. • Design and evolve integrations between agents and systems of record using MCP and comparable tool-integration frameworks. • Define architecture, interfaces, data contracts, and operational standards for production AI systems. • Establish evaluation strategies, quality baselines, and release criteria; use results to make sound deployment and iteration decisions. • Build systems with robust controls for permissions, observability, auditability, human-in-the-loop review, failure containment, and rollback. • Partner with data engineering and business stakeholders to ensure automations use trustworthy data and have sustainable ownership. • Drive technical decisions across multiple workflows, identify reusable patterns, and raise the engineering bar for the team. • Mentor engineers and technical partners through design reviews, implementation guidance, and practical AI engineering standards. • Document systems, decisions, and operating practices so that teams can safely maintain and extend what you build.
• 7+ years of hands-on software engineering experience, including substantial recent experience building and shipping LLM-backed applications used by real users. • Demonstrated experience taking AI agents or multi-step automation workflows from prototype through reliable production operation. • Strong Python engineering skills and practical SQL expertise, including the ability to work directly with production data models. • Deep experience with prompting, tool use, agentic loops, structured outputs, multi-step workflows, error handling, and production deployment. • Experience designing and operating systems that integrate with business-critical systems of record. • Strong judgment around evaluation methodology, reliability, safety controls, and the tradeoffs required to deploy AI systems responsibly. • Solid production engineering fundamentals across Git, CI/CD, containers, deployment, monitoring, testing, permissions, and rollback. • Ability to lead technical work in ambiguous environments, influence stakeholders, and turn incomplete requirements into practical, high-quality solutions. • Clear written and verbal communication skills, with the ability to work directly with both technical and non-technical partners. • Experience building or maintaining MCP servers, agent platforms, or reusable tool/skill frameworks. • Experience designing evaluation harnesses, test datasets, and monitoring for LLM-backed systems. • Background in internal tools, solutions engineering, professional services, startup environments, or founding teams. • Familiarity with systems such as Linear, Jira, Zendesk, Salesforce, or Snowflake. • Experience in insurance, fintech, cybersecurity, or another regulated environment where correctness, traceability, and controls have meaningful business impact. • Experience mentoring engineers or acting as a technical lead for complex cross-functional initiatives.
• 100% medical, dental, and vision coverage • 401(k) retirement plan with competitive employer match • Flexible PTO • Up to 14 weeks of paid leave for birthing parents and 8 weeks of paid parental leave for non-birthing parents • Annual home office stipend and WeWork access • Mental & physical health wellness programs like One Medical, Headspace, Wellhub, and more! • Competitive compensation and opportunity for advancement • Remote-first, highly inclusive culture
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