Job DescriptionAgileEngine 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.Requirements- 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.