Senior Forward Deployed Engineer

🕒 il y a 8 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

👷🏻‍♀️ Ingénieur

🗣️🇺🇸🇬🇧 Anglais requis

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Eliza

11 - 50 employés

Fondée en 2025

🤖 Intelligence artificielle

💼 Conseil

🏢 Entreprise

Artificial Intelligence • Consulting • Enterprise

Eliza est une société de conseil native en intelligence artificielle qui aide les entreprises à transformer l'IA générative de pointe (notamment ChatGPT/OpenAI) en un impact mesurable en production. Elle intègre des architectes d'IA et des leaders de l'autonomisation dans les équipes client pour développer la fluidité en IA (Fusion), redessiner et automatiser les processus répétitifs en workflows assistés par IA (Flow), et concevoir et déployer des systèmes d'IA, agents, copilotes et intégrations de qualité de production (Forge). Eliza se concentre sur les déploiements en entreprise, le transfert de compétences aux équipes clientes, et la livraison d'un ROI mesurable (plus de 100 déploiements et résultats de cas clients sont notés sur leur site).

Description

• Own end-to-end delivery quality for a major engagement, workstream, or solution area. • Translate ambiguous client needs into practical execution plans, technical milestones, and shipped outcomes. • Maintain a clear view of status, risks, blockers, and dependencies within your scope. • Raise quality concerns early and correct course before client confidence is affected. • Lead solution architecture and technical decision-making for your workstream. • Make pragmatic tradeoffs between speed, quality, scope, maintainability, cost, latency, and client value—and explain your reasoning. • Review critical technical work before it is shared with clients or treated as production-ready. • Design and ship AI/ML solutions using Python, modern ML frameworks, LLM orchestration tooling, and cloud-native infrastructure. • Act as the senior technical voice on your engagement, credible with both engineers and executives. • Spot technical, delivery, scope, timeline, and client-alignment risks early.

🎯 Exigences

• 5+ years of software engineering experience, including significant backend or full-stack depth. • Track record of independently owning complex, ambiguous technical work from definition through production. • Strong programming skills in Python; fluency in at least one additional language (JavaScript/TypeScript, Go, or similar). • Demonstrated experience delivering real-world ML/AI systems in production, not just prototypes. • Deep comfort with modern cloud platforms (AWS, GCP, or Azure), infrastructure-as-code, and CI/CD workflows. • Excellent client communication: you can hold a room, explain a tradeoff, and deliver bad news early. • Sound architectural judgment and the instinct to escalate at the right moment rather than the last moment.

🏖️ Avantages

• Competitive compensation (salary + annual bonus) • Equity options in a growing AI services company • Fully remote work • Remote work perks include a WFH stipend and monthly lifestyle stipend • A genuine senior IC track—technical leadership with real scope, without a forced move into people management. • The hardest problems in the portfolio, and the autonomy to solve them. • Flexibility to work across industries and problem domains. • A collaborative, mission-driven team passionate about the real-world impact of AI.

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