AI Engineer
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Job Description
AI Engineer building LLM, RAG, and voicebot applications for SYNQONY’s waste-management software group. Deploying Python services to Azure cloud infrastructure.
Responsibilities:
- Identify suitable AI use cases for SYNQONY Group’s software solutions
- Develop prototypes and transition them into stable, scalable production environments
- Further develop the AI voicebot on the multi-tenant cloud platform and roll it out to additional customers
- Drive new AI initiatives for the product portfolio
- Design and develop AI applications with Large Language Models, including prompt design, tool calling, and agentic workflows
- Build and optimize RAG solutions using vector search with pgvector and full-text search
- Systematically evaluate response quality
- Further develop the AI voicebot’s dialogue management, tools, speech recognition, and speech synthesis based on LiveKit Agents
- Integrate telephony via SIP
- Develop Python services with FastAPI, SQLAlchemy, and PostgreSQL
- Connect AI applications to customer data and domain-specific systems
- Prototype new AI ideas for the group’s products
- Transition applications into cloud operations on Azure using Docker and Kubernetes
- Ensure quality through testing, evaluations, and code reviews
Requirements:
- Practical experience in AI engineering with Large Language Models
- At least 3 years of professional software development experience with Python
- Experience with RAG and vector databases
- Experience evaluating AI systems
- Productive use of AI coding assistants such as Claude Code or Cursor, including validating their output through tests and reviews
- Strong knowledge of FastAPI, asynchronous Python, and REST APIs
- Experience with relational databases, ideally PostgreSQL
- Experience with Docker, Git, and CI/CD
- Curiosity and initiative
- Very good German and good English skills
- Optional: Experience with computer vision, OpenCV, PyTorch, or vision-language models
- Optional: Experience with voice AI and telephony, LiveKit, Vapi, SIP, speech-to-text, and text-to-speech
- Optional: Kubernetes and Azure experience
- Optional: Basic knowledge of C# and .NET
Benefits:
- Fully remote
- Flexible working hours
- Individual professional development opportunities
- Team events
- Open and collaborative working environment
- State-of-the-art technology and exciting digitalization projects
- Flat hierarchies and short decision-making processes
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