Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.
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.
About us
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!
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.
Job Type: Full-time
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