Locations
- Bulgaria
- Georgia
- Lithuania
- Moldova
- Poland
- Romania
Company Background
The customer is focused on blending creativity with cutting-edge AI to craft smart, innovative solutions that redefine how we interact with technology. Driven by a mission to challenge conventional thinking, they incubate bold ventures through disruptive ideas and AI experimentation. With a unique approach that fuses human intuition and machine intelligence, the customer seeks to transform industries, creating solutions that push the boundaries of what’s possible. Their latest endeavor is set to revolutionize the way brands connect with audiences by harnessing the power of sound in TV advertising.
Project Description
The project shifts the focus from visual elements to audio, recognizing that many TV viewers are often distracted by second screens. Through AI-driven auditory content, it delivers immersive, emotionally engaging ads that ensure brand messages resonate even when the screen is not the center of attention. This groundbreaking initiative offers a unique opportunity to work in a collaborative, agile environment, fostering creative freedom and professional growth. With a commitment to innovation and team-driven development, it promises to be at the forefront of the future of TV advertising.
Technologies
- Azure DevOps
- Azure Cloud
- Python
- React
- Docker
- SonarCloud
- Copilot
- ChatGPT
What You'll Do
- Design and implement modular, scalable microservices in Python;
- Collaborate with AI architects to embed AI-powered features like script generation and voice synthesis into the platform;
- Build and maintain real-time data pipelines for dynamic user interactions and analytics;
- Implement security measures, data encryption, and compliance with advertising standards and global data privacy laws;
- Design, manage, and optimize both SQL and NoSQL databases to ensure efficient data storage, retrieval, and processing, with a focus on performance at scale;
- Establish secure API connections with external services;
- Optimize backend services for performance and scalability, ensuring that the platform can handle high traffic and data loads effectively;
- Set up monitoring and logging solutions to track the health and performance of services, enabling real-time troubleshooting and long-term system reliability;
- Define API contracts and ensure seamless integration between front-end, back-end, and deployment pipelines, supporting a smooth CI/CD workflow;
- Provide guidance, training, and mentorship to backend developers, especially those transitioning to Python;
- Foster a collaborative and supportive environment that encourages learning and growth, helping team members adapt to the fast-paced, dynamic nature of our project;
Job Requirements
- 5+ years' experience in backend development, with a strong focus on building microservices using Python in production environments;
- Understanding of RESTful API design, including experience with API security, rate limiting, and data serialization (e.g., JSON);
- Expertise in SQL and NoSQL databases, with strong skills in designing schemas, optimizing queries, and managing data transactions;
- Experience with cloud platforms and containerization tools to deploy, scale, and manage microservices;
- Familiarity with security best practices, including encryption and secure data handling, and experience ensuring compliance with industry regulations;
- Experience mentoring junior and mid-level developers, willingness to lead by example;
- Level of English - from Intermediate (spoken/written);
Desired Skills
- Understanding of integrating AI models into backend services, especially supporting AI-driven features like content generation and optimization;
- Experience with message brokers for communication between microservices in an event-driven architecture;
- Experience with automated testing frameworks for unit, integration, and performance testing to ensure code quality and reliability;
- Interest in AI, data analytics, and backend systems that power AI-driven applications, with a desire to contribute to a cutting-edge advertising platform that leverages AI for innovation;
- Experience with Vector and their role in storing and retrieving embeddings for machine learning models;
- Experience working with Retrieval-Augmented Generation (RAG) workflows, integrating AI models with vector search capabilities to enhance data-driven, intelligent responses in real-time applications;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Internal startup incubator;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.