<p><strong>About Unframe</strong></p>
<p>Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.</p>
<p>With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV.</p>
<p><strong>What You'll Do</strong></p>
<p>As an Applied AI Engineer, you’ll work closely with customers and internal teams to translate business problems into AI-driven solutions. You’ll be hands-on with AI workflows, and help bridge the gap between model capabilities and real-world impact.</p>
<p><strong>About the role:</strong></p>
<ul>
<li>Implement workflows and configure model behavior for customer solutions.</li>
<li>Build integrations between AI logic and deterministic building blocks.</li>
<li>Work with platform and research teams to surface platform-level improvements.</li>
</ul>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li>
<li>4+ years of experience in software engineering, data science, machine learning, or research roles (including relevant academic experience).</li>
<li>Experience building and delivering production solutions to customers using Python, TypeScript, or similar.</li>
<li>Experience building pipelines for structured and unstructured data, including work with vector databases and retrieval-augmented generation (RAG)-like architectures.</li>
<li>Experience with prompt design, evaluation, and iteration workflows.</li>
<li>Ability to rapidly understand complex domains and read and implement research papers.</li>
<li>Comfortable working with real-time applications and production systems.</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Master’s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Google ADK) and patterns such as ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Background in data pipelines, APIs, or system integrations.</li>
<li>Experience working with enterprise or B2B customers.</li>
<li>Experience working in fast-paced startup environments.</li>
</ul>
<p><strong>Why join us?<br></strong></p>
<ul>
<li>Real ownership from day one. Drive decisions, shape ideas and make them work.</li>
<li>Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.</li>
<li>You'll have the opportunity to write and build what comes next.</li>
</ul>