Forward Deployed Engineer

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

👷🏻‍♀️ Engineer

👻 Ghost score 52%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eliza

WebsiteLinkedInAll Job Openings

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

• Partner directly with client stakeholders to understand requirements, constraints, and business objectives. • Lead the technical design and hands-on implementation of custom AI systems—including model integration, data pipelines, APIs, and deployment infrastructure. • Rapidly prototype and iterate with clients in live environments. • Build and deploy ML/AI solutions using technologies like Python, TensorFlow/PyTorch, LangChain, and cloud-native tools. • Integrate LLMs and other generative models into client products and workflows. • Support model fine-tuning, prompt engineering, and evaluation pipelines where applicable. • Work with internal teams (product, design, research) to shape reusable components and frameworks based on deployment experiences. • Contribute client feedback and frontline insights to improve service delivery and product strategy. • Advise client technical teams on best practices for AI/ML development and deployment. • Deliver hands-on workshops, documentation, and training to enable long-term client success. • Guide clients through infrastructure and architecture decisions (e.g., cloud, security, scalability).

🎯 Requirements

• 2+ years of software engineering experience, ideally in full-stack or backend-focused roles. • Hands-on experience delivering real-world ML/AI projects, either independently or in collaboration with data science teams. • Strong programming skills (Python required; familiarity with JavaScript/TypeScript, Go, or similar a plus). • Comfort with modern cloud platforms (AWS, GCP, or Azure) and CI/CD workflows. • Excellent communication and client interaction skills. • Experience with LLMs (e.g., OpenAI, Anthropic, Cohere), vector search, or prompt engineering (preferred). • Prior consulting, professional services, or customer-facing technical roles (preferred).

🏖️ Benefits

• Competitive compensation (salary + deployment bonuses or client uplift incentives). • Equity options in a growing AI services company. • 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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