SDE 2, Full Stack Machine Learning EngineerIntroduction:Are you looking to make a significant impact in a thriving software company? At Poppulo, we are shaping the future of communications and workplace technology. We recognize the challenges of effectively reaching every employee, managing hybrid office spaces, and enhancing customer experiences. Our mission is to simplify these processes and create harmony for our clients.We operate at enterprise scale, with our omnichannel communications and workplace experience platform trusted by over 6,000 organizations, reaching more than 35 million employees and delivering content to over 500,000 digital signs.We believe there’s no “perfect” candidate; everyone is evolving and acquiring new skills. We encourage you to apply even if you don’t meet all the requirements, as we value diverse perspectives to foster growthThe Opportunity:As a SDE 2, Full Stack Machine Learning Engineer, you will lead the development of intelligent, scalable, and user-focused applications. This role combines full-stack engineering with advanced AI/ML capabilities, including Agentic AI and LLMOps, to create innovative, production-ready solutions that transform ideas into impactful products leveraging modern AI.Key ResponsibilitiesBuild End-to-End AI-Powered Products: Design and develop full-stack applications that integrate ML models into seamless user experiences across web and mobile platforms.Develop Scalable APIs and Services: Create robust backend services and APIs to serve ML models, manage data pipelines, and support real-time inference.Craft Intuitive Frontends: Build responsive, user-friendly interfaces using modern frameworks to visualize and interact with ML outputs.Operationalize ML Solutions: Implement the full ML lifecycle—from data engineering and model development to deployment, monitoring, and MLOps on cloud platforms.Prototype Rapidly: Create high-cadence proof-of-concepts to validate ideas and align with product strategy.Optimize Performance: Continuously enhance system and model performance for speed, scalability, and cost-efficiency.LLMOps Integration: Design and manage workflows for deploying, monitoring, and updating large language models (LLMs) in production environments.Collaborate Cross-Functionally: Work closely with product managers, designers, and other engineers to ensure cohesive and impactful product delivery.Stay Ahead of the Curve: Keep up with the latest in AI/ML, full-stack technologies, LLMOps, and Agentic AI to guide architectural decisions.ML & GenAI Expertise: Strong background in ML (e.g., classification, computer vision) and generative AI (LLMs, RAG, prompt engineering, vector databases).Agentic AI Systems: Experience designing and deploying autonomous AI agents capable of reasoning, planning, and interacting with complex environments.LLMOps: Proficiency in managing the lifecycle of large language models, including fine-tuning, deployment, monitoring, and continuous improvement.Backend Development: Experience with backend frameworks such as Node.js, Django, Flask, or FastAPI; strong understanding of RESTful and GraphQL APIs.Database Management: Skilled in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.Cloud & DevOps: Hands-on experience with AWS, GCP, or Azure; containerization (Docker, Kubernetes); CI/CD pipelines.MLOps: Experience deploying and managing ML workflows in production environments.System Design: Ability to architect scalable, secure, and maintainable systems.Problem Solving: Strong analytical skills to break down complex challenges into practical, innovative solutions.Team Leadership: Experience mentoring and guiding engineering teams.Education & ExperienceMaster’s or PhD in Computer Science, AI, Statistics, or a related field.3+ years of experience building and deploying full-stack applications and ML systems in production.Proven track record of delivering complex, distributed software solutions across the full development lifecycle.Who We AreWe are a values-driven organization that empowers our employees to be their authentic selves at work and make a tangible impact on our products, clients, and culture. Our dynamic environment is filled with motivated, fun, and flexible individuals who thrive on challenges and responsibilities. Join us and contribute to a company that’s on the move.We embody the Poppulo values every day, which are essential to our mission:Bring Your Best Self: We show up authentically, are self-aware, and always strive to improve.See it. Own it. Solve it.: We proactively innovate and solve for our customers and each other, setting high standards for our work and fostering a culture of learning.Together We’re Better: We value and celebrate our diversity, learn from others, and focus on building trust as a team.Recognized as a Great Place to Work from 2015 to 2021, we are a fast-growing global technology company with offices in Ireland, the US, and the UK.Poppulo is an equal opportunity employer.We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.Apply for this job*indicates a required fieldFirst Name *Last Name *Email *Phone *Location (City) *Resume/CV *Enter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfLinkedIn ProfileExperience Level * Select...Please specify your earliest start date,if selected for this role? *What are your salary expectations? *Do you consent to Poppulo sharing your personal data with other Vista portfolio companies for the purpose of being considered for other job opportunities in the pooling system, both inside and outside the EEA? * Select...
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