Forward-Deployed Engineer

🕒 il y a 6 mois

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👷🏻‍♀️ Ingénieur

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ept AI

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

ept AI est une plateforme SaaS d'entreprise qui fournit des outils de gestion des connaissances, de support client et d'activation des ventes alimentés par l'IA pour les entreprises technologiques B2B, avec un focus particulier sur les secteurs des semi-conducteurs, de l'industrie, de l'énergie et de l'IoT. Elle offre des assistants IA centrés sur le produit — chatbots, guides CRM/ventes, génération de réponses techniques et RFP, ainsi qu'une aide contextuelle intégrée au produit — qui s'intègrent aux flux de travail existants pour améliorer l'expérience client, accélérer les ventes, et élargir le support tout en mettant l'accent sur la sécurité des données et la gestion continue des performances.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.