
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).
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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).
• 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.
• 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.
• 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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