AI ENGINEER (m/w/d)

SYNQONY

1d•Remote

About The Position

As an AI Engineer at SYNQONY, you will shape how artificial intelligence is used across the SYNQONY Group’s software solutions. You will identify suitable use cases, develop prototypes, and bring them into stable, scalable production. An initial focus will be the company’s AI voicebot, which runs on a multi-tenant cloud platform and is being introduced to additional customers. You will also advance new AI initiatives for a product portfolio that is continually expanding. The role involves designing and developing AI applications with large language models, including prompt design, tool calling, and agentic workflows. You will build and optimize retrieval-augmented generation solutions using vector and full-text search, and systematically evaluate answer quality. You will further develop the AI voicebot’s conversation flow, tools, speech recognition, and speech output, using LiveKit Agents and SIP telephony. You will develop Python services that connect AI applications with customer data and domain systems, and rapidly prototype new AI ideas before bringing them into cloud operation. You will help ensure reliable live performance through testing, evaluations, and code reviews. The role is fully remote with flexible working hours.

Requirements

Practical AI engineering experience with large language models, including building applications with prompt design, tool calling, and agents.
At least 3 years of professional software development experience with Python.
Experience with RAG and vector databases.
Experience evaluating AI systems, measuring answer quality, identifying errors, and demonstrating improvements.
Productive use of AI coding assistants such as Claude Code or Cursor, with results checked through tests and reviews.
Confident use of FastAPI, asynchronous Python, and REST APIs.
Experience with relational databases; PostgreSQL is preferred.
Experience with Docker, Git, and CI/CD.
Curiosity and initiative in turning ideas into prototypes and prototypes into products.
Very good German and good English skills.

Nice To Haves

Computer vision experience, such as image or document recognition using OpenCV, PyTorch, or vision-capable language models.
Familiarity with voice AI and telephony, including LiveKit, Vapi, SIP, speech-to-text, and text-to-speech.
Kubernetes and Azure experience for operating AI services securely and at scale in the cloud.
Basic knowledge of C# and .NET.

Responsibilities

Identify suitable AI use cases, develop prototypes, and bring them into stable, scalable production.
Design and develop LLM applications, including prompt design, tool calling, and agentic workflows.
Build and optimize RAG solutions using vector search with pgvector and full-text search, including systematic evaluation of answer quality.
Further develop the AI voicebot, including conversation flow, tools, speech recognition, and speech output using LiveKit Agents and SIP telephony.
Develop Python services using FastAPI, SQLAlchemy, and PostgreSQL to connect AI applications with customer data and domain systems.
Prototype new AI ideas for the group’s products and bring them into cloud operation using Docker and Kubernetes on Azure.
Ensure AI applications remain reliable in live operation through testing, evaluations, and code reviews.