AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! WHAT YOU WILL DO - Lead the technical integration and validation of the Google Insights Finder and YouTube Reach Curve APIs, meticulously documenting their behavior, rate limits, and response structures to inform system design; - Design and develop the core algorithms for the “Audience Definition Module,” creating systems for data-backed targeting recommendations and intuitive audience insights visualization; - Architect and implement the key AI-powered features, including natural language prompt processing for user queries, intelligent audience recommendations, and campaign optimization suggestions; - Build the AI plan summarization feature and the budget recommendation engine, which intelligently consolidates reach and frequency (R&F) data across multiple audiences; - Collaborate closely with the UX/UI Designer to translate complex AI outputs, such as “investment recipes” (e.g., minimum reach, breakthrough, saturation), into interactive and easily digestible visualizations; - Architect and implement robust AI systems from the ground up, writing clean, performant, and maintainable code that meets clearly defined specifications; - Stay abreast of the latest advancements in applied AI and advocate for their adoption where they can bring value to the product. MUST HAVES - A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field; - 4+ years of proven experience as an AI Engineer or Machine Learning Engineer , demonstrated by a portfolio of projects involving third-party API integration, data modeling, and algorithm development; - Strong programming skills in Python and deep expertise within its data science and AI/ML ecosystem (e.g., Pandas, NumPy, Scikit-learn, spaCy, TensorFlow/PyTorch); - Extensive hands-on experience consuming and processing data from third-party RESTful APIs , including handling complex and nested JSON data structures; - A solid, practical understanding of Natural Language Processing ( NLP ) techniques and libraries, particularly for tasks such as named entity recognition, intent classification, and text summarization; - Self-motivated with a strong work ethic and the ability to tackle unique and interesting challenges with minimal supervision; - Upper-Intermediate English level. NICE TO HAVES - Direct experience with Google’s advertising APIs (e.g., Google Ads API, Display & Video 360 API); - Familiarity with cloud-based AI platforms, especially Google Cloud AI Platform / Vertex AI; - Experience building recommendation systems, optimization engines, or forecasting models; - Domain knowledge in digital advertising, media planning concepts (reach, frequency, GRPs), or marketing analytics. THE BENEFITS OF JOINING US - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process.