<div>Degreed is the upskilling platform that fuels growth and innovation through lifelong learning. We bring together everything you need to learn and advance: LMSs, courses, videos, articles, projects, and real-world skill insights, matching you with opportunities that align with your skills, role, and goals. For businesses, Degreed helps build a culture of learning that attracts, develops, and retains top talent, driving both individual and company success. We believe learning is the key to unlocking opportunities. Our mission is to discover, empower, and celebrate the next generation of global expertise. Join us in shaping the future of learning and workforce development! <hr />  </div>We’re looking for a backend-focused Senior GenAI Application Engineer to design, build, and scale production-grade generative AI applications for Degreed’s enterprise learning platform. As a Senior GenAI Application Engineer, you’ll have ownership of core GenAI application architecture, quality, and delivery leveraging your technical depth and understanding of business needs to drive high-impact AI solutions. You’ll collaborate across teams and domains, set technical standards, and help shape Degreed’s AI roadmap. Join a team passionate about leveraging the latest in AI to solve real-world B2B challenges at scale. Key Skills <ul> <li>7+ years Python software engineering experience</li> <li>2+ years hands-on GenAI / LLM app development (not model research)</li> <li>Up to date with the latest advancements in AI, LLMs, and GenAI best practices</li> <li>Strong background in backend/API design, microservices, CI/CD</li> <li>Proven experience building and scaling robust, production backend applications</li> <li>Practical experience integrating LLM APIs (OpenAI, Anthropic, Gemini, etc.)</li> <li>Experience with prompt engineering, RAG, agentic workflows, evaluation frameworks</li> <li>Cloud Exposure: Azure, GCP, or AWS</li> <li>Demonstrated ability to design for performance, resilience, testability, and scalability</li> <li>Experience with rapid prototyping and iterative product delivery</li> <li>Applied ML/NLP background (a plus)</li> <li>Strong communication, code/design review, and collaboration skills </li> </ul> Key Responsibilities <ul> <li>Architect, develop, and deploy scalable backend GenAI-powered applications for B2B use cases, ensuring performance, resilience, and maintainability</li> <li>Integrate, orchestrate, and optimize large language models and retrieval systems into enterprise products, driving business value</li> <li>Proactively set and uphold high standards for code quality, scalability, and best practices (through design/code reviews, mentoring, and technical leadership)</li> <li>Lead the design and implementation of prompt engineering, RAG pipelines, agentic workflows, and robust evaluation/testing strategies for GenAI features</li> <li>Build rapid prototypes, iterate on new AI product features, and transition successful prototypes into production systems</li> <li>Monitor, optimize, and troubleshoot GenAI services in a live cloud environment, proactively addressing risks and cross-module issues</li> <li>Collaborate closely with product, data, and engineering teams, translating open-ended requirements into actionable, scalable solutions</li> <li>Identify opportunities for technical improvement, advocate for and implement enhancements, and contribute to ongoing team learning and AI best practices</li> <li>Serve as a go-to expert in GenAI engineering, providing technical guidance and feedback across the team and supporting the technical roadmap </li> </ul> Compensation <div>We are committed to fair and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, and specific work location.</div><div>  <hr /> <h3>Benefits </h3> We take care of our people with a comprehensive benefits package designed to support your well-being, growth, and success. View the full details here: <a href="https://px.sequoia.com/globalcompanybenefits">https://px.sequoia.com/globalcompanybenefits</a> <hr /> <h3>At Degreed, We Value</h3> 🌍 Diversity &amp; Inclusion – We celebrate diverse perspectives and backgrounds, fostering an inclusive environment where everyone can thrive and contribute. 📈 Growth Mindset – Learning is at the heart of what we do. We empower our employees to continuously develop their skills and grow their careers in alignment with their unique strengths and aspirations. 🤝 Collaboration – The best ideas come from working together. We cultivate a culture of open communication, teamwork, and shared success. By joining Degreed, you’ll be part of a community that values learning, collaboration, and meaningful impact. If you’re passionate about driving change through upskilling and workforce transformation, we encourage you to apply and contribute to our mission. <hr /> <h3>Work Environment &amp; Physical Demands</h3> Degreed offers flexible work arrangements tailored to each role. Some positions are fully remote, while others follow a hybrid model for employees near an office. Please check the job details for role-specific requirements. For remote and hybrid roles, you’ll collaborate virtually using tools like Zoom and Slack. This role may require prolonged computer use and stationary work, with the ability to interpret written and verbal communication effectively. We are committed to creating an inclusive and adaptable work environment that enables every team member to thrive and do their best work. <hr /> <h3>Additional Information</h3> Degreed is an equal opportunity employer committed to fostering a workplace free from discrimination and harassment. We do not discriminate based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all aspects of employment, including recruitment, hiring, career development, compensation, and training. 💡 Accessibility &amp; Accommodations – We are dedicated to full inclusion and will provide reasonable accommodations for applicants with disabilities throughout the hiring process. If you need assistance, please let us know. 🔍 Fair Hiring Practices – In compliance with the San Francisco Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records. 📄 E-Verify Participation – Degreed participates in the E-Verify employment verification program. <hr /> <h3>Global Data Privacy Notice for Job Candidates &amp; Applicants</h3> If you’re applying from specific regions, your personal data may be processed in line with applicable privacy laws, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). To understand how we handle applicant data, please review our Global Data Privacy Notice and related policies: <ul> <li><a href="https://explore.degreed.com/privacy/" target="_blank">Global Privacy Notice</a></li> <li><a href="https://degreed.zendesk.com/hc/en-us/articles/4409131149458-General-Data-Protection-Regulation-GDPR-Degreed-Update" target="_blank">GDPR Compliance Details</a></li> </ul> By submitting your application, you acknowledge and agree to our use and processing of your data in compliance with applicable laws. <hr /> <h3>Fraudulent Recruitment Warning 🚨</h3> Beware of fraudulent recruitment scams using the Degreed name. Scammers may impersonate our company, website, or hiring team. Degreed will never: <ul> <li>❌ Conduct recruitment via WhatsApp, Telegram, or direct-messaging platforms.</li> <li>❌ Request sensitive personal or financial information in unsolicited communications.</li> <li>❌ Offer jobs requiring upfront payments or promising unrealistic returns.</li> </ul> ✅ Official Degreed communications will always come from a @degreed.com email address or phone number during the hiring process. If you encounter suspicious activity, please report it immediately. Stay vigilant and protect yourself from fraud.</div>