Ai Engineer Id38562

INGEPSY; Santander; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A leading software development company is seeking an AI Engineer to lead the integration of various Google APIs and develop core algorithms for audience insights. The ideal candidate has 4+ years of experience in AI/ML and strong programming skills in Python. The role offers competitive compensation and the flexibility to work from home or in the office.

Servicios

Professional growth opportunities

Competitive USD-based compensation

Flexible working hours

Formación

• 4+ years of experience as an AI Engineer or Machine Learning Engineer.
• Experience with third-party API integration and data processing.
• Self-motivated with a strong work ethic.

Responsabilidades

• Lead integration of Google Insights Finder and YouTube APIs.
• Design algorithms for the Audience Definition Module.
• Develop AI-powered features and optimize AI systems.

Conocimientos

Python programming

AI/ML expertise

API integration

Natural Language Processing

Data modeling

Educación

Bachelor’s or Master’s degree in Computer Science or related field

Herramientas

TensorFlow

PyTorch

Pandas

NumPy

Scikit-learn

spaCy

Descripción del empleo

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.

What You Will Do

1. 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;
2. Design and develop the core algorithms for the “Audience Definition Module,” creating systems for data-backed targeting recommendations and intuitive audience insights visualization;
3. Architect and implement the key AI-powered features, including natural language prompt processing for user queries, intelligent audience recommendations, and campaign optimization suggestions;
4. Build the AI plan summarization feature and the budget recommendation engine, which consolidates reach and frequency (R&F) data across multiple audiences;
5. 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;
6. Architect and implement robust AI systems from the ground up, writing clean, performant, and maintainable code that meets clearly defined specifications;
7. Stay abreast of the latest advancements in applied AI and advocate for their adoption where they can bring value to the product.

Must Have

• 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;

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 skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• Exciting projects: Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, with options to work from home or in the office—whatever makes you most productive.

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