Associate Forward Deployed Engineer

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Eliza

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2025

🤖 Künstliche Intelligenz

💼 Beratung

🏢 Unternehmen

Artificial Intelligence • Consulting • Enterprise

Eliza ist eine KI-native Beratungsfirma, die Unternehmen dabei hilft, bahnbrechende generative KI (insbesondere ChatGPT/OpenAI) in messbare Produktionsergebnisse zu verwandeln. Sie integrieren KI-Architekten und Enablement-Leiter in die Kundenteams, um KI-Kompetenz (Fusion) aufzubauen, wiederkehrende Prozesse in KI-unterstützte Workflows umzugestalten und zu automatisieren (Flow) und produktionsfähige KI-Systeme, Agenten, Kopiloten und Integrationen zu entwerfen und bereitzustellen (Forge). Eliza konzentriert sich auf Unternehmenseinsätze, die Übertragung von Fähigkeiten an Kundenteams und die Lieferung messbaren ROI (über 100 Einsätze und Kundenergebnisse auf ihrer Website aufgeführt).

Beschreibung

• Build and test components of custom AI systems—model integrations, data pipelines, APIs, and deployment tooling—under senior technical direction. • Participate in client sessions across the engagement lifecycle: requirements gathering, prototype reviews, technical working sessions, and delivery readouts. • Take direct ownership of scoped client-facing assignments, with responsibility growing over your first several months. • Prototype rapidly and iterate against real client feedback. • Proactively identify opportunities to apply AI within Eliza's own operating rhythms. • Scope, build, and present high-impact internal solutions end-to-end. • Write clean, reviewable code and respond productively to technical review. • Learn and apply Eliza's delivery standards for quality, documentation, and pace. • Keep the engagement team informed on status without needing to be chased. • Work closely with Lead and Senior FDEs, absorbing different approaches to technical and client problems.

🎯 Anforderungen

• 0–2 years of software engineering experience, or equivalent demonstrated ability through internships, open-source contributions, or substantial personal projects. • Strong programming skills in Python; familiarity with JavaScript/TypeScript, Go, or similar is a plus. • Clear written and verbal communication, and real interest in working directly with clients. • Working exposure to modern cloud platforms (AWS, GCP, or Azure) and version control / CI workflows. • Evidence of shipping something real—a working system, tool, or model that other people used. • High ownership instinct: you finish things, and you ask for help before a problem becomes a crisis. • Hands-on experience with LLMs (e.g., Anthropic, OpenAI, Cohere), vector search, or prompt engineering is preferred. • Any prior client-facing, consulting, or professional services exposure is preferred. • Familiarity with ML/AI project work, independently or alongside data science teams is preferred. • Comfort with ambiguity and rapid context-switching across problem domains is preferred.

🏖️ Vorteile

• 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 • Direct mentorship from senior engineers on live client work, starting immediately. • Exposure to multiple industries, clients, and problem domains in your first year. • A collaborative, mission-driven team passionate about the real-world impact of AI.