Forward-Deployed Engineer

🕒 Novembro 25, 2025

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

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ept AI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

ept AI é uma plataforma SaaS corporativa que oferece ferramentas de gestão do conhecimento, suporte ao cliente e capacitação em vendas impulsionadas por IA para empresas de tecnologia B2B, com foco especial nos setores de semicondutores, industrial, energia e IoT. Ela oferece assistentes de IA centrados em produtos — chatbots, guias de CRM/vendas, geração de respostas a RFPs e técnicas e ajuda contextual no produto — que se integram aos fluxos de trabalho existentes para melhorar a experiência do cliente, acelerar as vendas e ampliar o suporte, enfatizando a segurança dos dados e a gestão contínua de desempenho.

Descrição

• Engage directly with enterprise customers (C-suite, product, sales, support leaders) to understand their business goals, bottlenecks and technical landscape, and define how ept AI’s platform can deliver differentiated value. • Lead the end-to-end deployment lifecycle for complex AI use cases: requirement discovery → solution design → rapid prototyping → production readiness → scalable rollout → ongoing optimisation. • Write, review and deploy production-grade code, data pipelines, APIs, and integrations (both on-premises and cloud) to embed our modular AI platform into customer workflows. • Work closely with ept AI’s product and engineering teams to feed back field insights, drive platform enhancements, prioritise feature requests, and contribute to our roadmap. • Serve as the trusted technical advisor for the customer, handling technical escalations, performance tuning, adoption metrics, security/compliance concerns and change management. • Enable adoption and ROI: define and track metrics of success (time-to-value, CSAT, support ticket reduction, incremental revenue, etc.), deliver training and documentation, and work with customer teams to drive long-term value realisation. • Support pre-sales and commercial activities: providing scoping support, technical demos, proof-of-value builds, and contributing to RFPs or statements of work when needed.

🎯 Requisitos

• Bachelor’s or Master’s degree in Computer Science, Engineering or related technical discipline (or equivalent practical experience). • 5+ years of hands-on software engineering in enterprise environments; demonstrable experience building production systems (backend, data, integrations) in one or more languages (e.g., Python, Java, C#) and comfortable working with APIs, microservices, event-driven architectures and cloud platforms. • Experience with deploying or integrating enterprise-scale AI, ML, or data-driven platforms (ideally including natural language, agent-based workflows, or modular AI architectures). • Strong ability to translate business/operational problems into technical solutions. • Comfort bridging business stakeholders and engineering teams. • Experience in customer-facing roles (customer success, professional services, solutions engineering, or equivalent) where you’ve delivered measurable outcomes. • Excellent communicator—capable of engaging both executives and engineers; able to present value, trade-offs, timelines and technical architecture clearly. • Demonstrated ability to operate in ambiguous, fast-moving environments and handle multiple customer deployments in parallel, maintaining quality and customer satisfaction. • Willingness and ability to travel (up to ~50-70%) including customer site visits worldwide as needed. • Strong customer-oriented mindset, resilient under pressure, able to escalate, adapt and deliver. • Experience working with enterprise security, compliance, data-governance, and integration into legacy systems is a plus.

🏖️ Benefícios

• Travel regularly (domestic and/or international) to be onsite at customer locations as required by deployment rhythm. • Maintain strong customer relationships, ensure high satisfaction, retention and expansion opportunities, and act as an ambassador for ept AI’s brand and technical excellence.