Applied AI Backend Engineering Lead at Avvoka
Worldwide
<h3><strong>We’re Avvoka</strong></h3><p><strong>Join us in building the next generation of legal drafting technology.</strong><br/>We help teams move faster through complex contracts using automation, collaboration and AI — with lawyers firmly in control.</p><p>Trusted by leading law firms, banks and enterprises, we’ve grown rapidly through product strength and word of mouth. Now, we’re scaling from a product-led company into a global brand.</p><p><strong>You’ll help shape the design, storytelling and experiences that define the next era of drafting.</strong></p><h3> <strong>Why Join Us</strong><span> </span> </h3><p>This is a rare opportunity to build the Avvoka brand from the ground up — not inherit it. You’ll be part of a small, ambitious team with the freedom to create, experiment and raise the bar for legal tech.</p><p>You’ll work alongside smart, supportive people who move fast and care deeply about quality. If you’re motivated by ownership, pace and visible impact, you’ll feel at home here.</p><h3><strong>The Role</strong></h3><p>We’re seeking a <strong>Applied AI Backend Engineering Lead</strong> to lead our AI team in integrating advanced AI solutions into our next-generation legal tech platforms and product (not research). You’ll architect, implement, and scale AI-driven features that directly impact our users, shaping both the technical direction of our product and the growth of the engineering team. This is a unique opportunity to combine deep backend expertise with AI innovation in a fast-moving, collaborative environment.</p><h3><strong>Role Details</strong></h3><p><strong>Department: </strong>AI<br/><strong>Primary Point of Contact: </strong>CTO</p><p><strong>Location:</strong> Remote-first Hybrid (Prague 6)<br/><strong>Working Hours: </strong>160h a month<br/><strong>Compensation:</strong> Competitive, based on experience<br/><strong>Start Date:</strong> Flexible — we’d love you to join soon</p><h3><strong>What You’ll Do</strong></h3><h3><strong>Lead AI-driven Backend Development</strong></h3><ul> <li><p><strong>Architect solutions:</strong> Design and implement AI-powered features into our product.</p></li> <li><p><strong>Feature development:</strong> Build scalable backend systems that power AI functionality.</p></li> <li><p><strong>Innovation:</strong> Propose AI enhancements and improvements to elevate user experience.</p></li> </ul><h3><strong>Improve system performance and scalability</strong></h3><ul> <li><p><strong>Optimization:</strong> Identify and address performance bottlenecks across AI and core backend systems.</p></li> <li><p><strong>Scalability planning:</strong> Build systems that scale with growing AI workloads and user demand.</p></li> <li><p><strong>Monitoring & troubleshooting:</strong> Leverage metrics and logs to proactively maintain system reliability.</p></li> </ul><h3><strong>Mentor and support the AI Solutions Team</strong></h3><ul> <li><p><strong>Team leadership:</strong> Guide engineers through code reviews, workshops, and pair programming.</p></li> <li><p><strong>Knowledge sharing:</strong> Foster a culture of learning around AI integration and backend best practices.</p></li> <li><p><strong>Career growth:</strong> Support junior engineers in skill development and confidence building.</p></li> </ul><h3><strong>Collaborate across teams</strong></h3><ul> <li><p><strong>Cross-functional planning:</strong> Partner with Product, Design, and AI teams to translate requirements into technical solutions.</p></li> <li><p><strong>Problem-solving:</strong> Drive discussions to resolve complex technical and product challenges.</p></li> <li><p><strong>Feedback loop:</strong> Help prioritize AI initiatives, technical debt, and feature requests for maximum impact.</p></li> </ul><h3><strong>What Success Looks Like</strong></h3><p><em>To ensure your application has the best opportunity of success, your CV could cover the below measures of success with </em><strong><em>quantifiable results</em></strong><em> (e.g. percentages, growth, reductions, impact)</em> </p><ul> <li><p>Significant improvements in system performance or AI feature response times</p></li> <li><p>Successful delivery of AI-powered features on schedule</p></li> <li><p>Leadership in mentoring, engineering best practices, and team development</p></li> </ul><h3><strong>What You’ll Bring</strong></h3><p><strong>The ideal candidate would have:</strong></p><ul> <li><p>Extensive experience with Ruby on Rails and backend architectures in production environments</p></li> <li><p>Strong understanding of web applications, RESTful APIs, and database design</p></li> <li><p>Hands-on experience with AI integration, CI/CD pipelines, testing frameworks, and cloud-based deployments</p></li> <li><p>Proven track record of performance optimization and scaling complex applications</p></li> </ul><p><strong>Bonus points if:</strong></p><ul> <li><p>You’ve worked in SaaS, legal tech, or highly regulated industries</p></li> <li><p>You’ve contributed to open-source projects or internal tooling</p></li> </ul><p>In addition to the technical and professional skills, there are certain core attributes we value across all roles:</p><ul> <li><p>Adaptability in dynamically evolving settings</p></li> <li><p>A proactive, solution-focused mindset with ownership</p></li> <li><p>A collaborative spirit, supporting and mentoring others</p></li> </ul><p>💡 <em>If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to</em><strong> apply anyway</strong><em> — you might be just the candidate we’re looking for. </em></p><h3><strong>Our Hiring Process</strong></h3><ul> <li><p><strong>CV Review:</strong> Our People team reviews all applications carefully.</p></li> <li><p><strong>Screening Call (15m):</strong> A quick virtual chat with our People team to learn more about you and answer any initial questions.</p></li> <li><p><strong>Stage 1 – Assessment Interview (30–45m):</strong> A virtual assessment interview with the Hiring Manager focused on your experience and approach.</p></li> <li><p><strong>Stage 2 – Senior Interview (for senior roles):</strong> An additional conversation with members of the leadership team.</p></li> <li><p><strong>Meet the Team:</strong> Where possible, we’ll invite shortlisted candidates to visit our WeWork Waterloo office to meet the wider team.</p></li> </ul><p>We aim to make an offer to the successful candidate within a month of application, but this will vary by role and seniority.</p><h3> <strong>Equal Opportunities</strong><span> </span> </h3><p>We are an equal opportunity employer that celebrates diversity and inclusion. We welcome applications from individuals of all backgrounds, identities, and experiences - including those from underrepresented groups - and are happy to provide reasonable adjustments for candidates with disabilities during the recruitment process. </p>
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