AI Engineer

Job not on LinkedIn

🕒 September 7

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.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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Dura Digital

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

SaaS • Artificial Intelligence • B2B

Dura Digital is a company founded by Fernanda Badano that specializes in helping clients digitally transform their businesses. The company offers a comprehensive range of services, including human-centered design, advanced engineering, and artificial intelligence solutions. With a commitment to innovation and a dual-shore studio model, Dura Digital focuses on making the digital future a reality for its clients. Headquartered in Seattle, USA, with offices in Montevideo, Uruguay, and Edmonton, Canada, the company leverages local tech talent to deliver end-to-end solutions that address the evolving challenges and opportunities presented by generative AI technologies.

📋 Description

• Build and deploy production AI features, including LLM-backed workflows, retrieval-augmented generation, agentic and tool-using systems, classification and extraction pipelines, and traditional ML models • Own ingestion, chunking, embedding, indexing, and retrieval quality • Design offline evaluation sets and online feedback loops; define quality criteria and track regressions • Integrate AI capabilities into applications and services through APIs, considering latency, cost, failure modes, and graceful degradation • Instrument and monitor deployed systems for quality drift, hallucination rates, token spend, and abuse • Apply responsible-AI practices covering data privacy and residency, PII handling, prompt injection, data exfiltration, access control, and model-limitations documentation • Prototype quickly, then decide what to harden or discard • Contribute to internal standards, reusable components, reference architectures, and reusable patterns • Explain technical tradeoffs to non-technical audiences, client stakeholders, and executives

🎯 Requirements

• 3+ years of professional software engineering experience, including 1+ years building with LLMs or ML systems in production • Strong Python • Working proficiency in at least one of TypeScript/JavaScript, C#, Java, or Go for service and application integration • Demonstrated experience shipping an AI feature end to end, including evaluating it, diagnosing failures, and making improvements • Practical command of prompt design, structured output, function/tool calling, context management, and at least one orchestration framework or a well-reasoned argument for building without one • Experience with retrieval systems and vector search, including diagnosing poor retrieval • Cloud deployment experience on Azure, AWS, or GCP • Containers, CI/CD, and infrastructure-as-code fundamentals • SQL and experience working with messy real-world data • Clear written and verbal communication and comfort operating with incomplete requirements