Associate Forward Deployed Engineer

🔥 13 minutes ago

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Eliza

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Eliza is an AI-native consulting firm that helps enterprises turn frontier generative AI (notably ChatGPT/OpenAI) into measurable production impact. They embed AI architects and enablement leaders into client teams to build AI fluency (Fusion), redesign and automate repeatable processes into AI-assisted workflows (Flow), and design and ship production-grade AI systems, agents, copilots, and integrations (Forge). Eliza focuses on enterprise deployments, capability transfer to client teams, and delivering measurable ROI (100+ deployments and client case results noted on their site).

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.

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