Tech Lead / Senior Software Engineer from ELORA
Skillbourg
Luxembourg
Posted 2 weeks ago

We’re a dynamic pre-seed startup based in Elora, focused on revolutionizing customer service through Generative AI. As a Tech Lead / Senior Software Engineer, you will play a pivotal role in shaping the architecture and development of our innovative AI platform for call and chat agents. This is an exciting opportunity to join a small, ambitious team and make a significant impact in the early stages of a cutting-edge technology venture.
Key Responsibilities
- Lead the development of the AI platform’s backend, ensuring robust and scalable architecture.
- Innovate and contribute to the overall architecture and design of the platform, focusing on scalability and performance.
- Implement backend services using Azure Function Apps or Google Cloud Functions and manage APIs.
- Enhance voice management architecture, including VAD development, audio chunking, speech-to-text, and text-to-speech functionalities.
- Handle telephony integrations with Twilio for seamless customer interactions.
- Manage and optimize databases such as Cosmos DB and Firestore for live data and user profiles.
- Integrate AI models using Azure OpenAI, Vertex AI, and similar tools for advanced search and response functionalities.
Requirements
- Proven track record in leading backend development projects, including experience with microservices architecture and REST API development.
- Minimum 3 years of cloud development experience with Azure; familiarity with Google Cloud Platform (GCP) is a plus.
- Expertise in voice engineering (e.g., VAD development, audio formatting) or telephony platforms such as Twilio.
- Proficiency in programming languages such as Python, JavaScript, and C#.
- Strong problem-solving abilities and attention to detail, with a focus on creating scalable backend solutions.
- Experience with cloud services including Azure Functions, Cosmos DB, Azure OpenAI, Vertex AI, Firestore, and Cloud Functions.
Nice to Have
- Experience with voice engineering libraries/tools such as node-vad, Google Cloud Speech-to-Text, ElevenLabs, or similar.
- Familiarity with telephony integrations and advanced voice processing technologies.
- Knowledge of AI model integration for search and response functionalities.
- Entrepreneurial mindset and the ability to thrive in a fast-paced startup environment.