AI Software Engineer at Avaloq

A bit about the role

We are seeking a highly skilled, fast learner and well rounded AI Software Engineer to join our AI innovation lab team. The ideal candidate will lead AI experiments and bring cutting-edge AI Agentic solutions from ideation to production.

The mission of Avaloq AI Lab is to improve operational efficiency and augment Back-to-Front Office user experiences, through the application of state-of-the-art AI technology. We work collaboratively with industry leaders to deliver responsible and impactful solutions. Our team develops products tailored to the banking sector, supporting a broad range of users including banking operations, software engineers, knowledge services teams, and relationship managers.

Your key tasks

Lead AI experiments and develop solutions from ideation to production

Collaborate with cross-functional teams to design and implement Agentic AI solutions

Develop advanced prompts, multi-Agents architecture and tools

Deploy and maintain LLM based solutions in production

Optimize solutions for performance, cost, and scalability

Stay up-to-date and evaluate the latest advancements in AI research and related regulations

A bit about you

At least B.Sc. degree in Computer Science, Engineering, or a related field

Strong background in data science, statistics, and experimental thinking

Understanding of data structures, algorithms, and software design principles

Effective communication and collaboration skills

Excellent analytical, coding, and debugging skills in Python

At least 5 years of experience in Full-Stack Software Development

At least 3 years of applied ML experience, with 2 years of experience with LLMs and Agents

Proven track-record of deploying and maintaining AI models in production

ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar

RAG pipelines with vector stores (e.g., Chroma, Qdrant)

Agent frameworks (e.g., LangChain, Google ADK, CrewAI)

Cloud AI services e.g. AWS (SageMaker, Bedrock), Azure (AI Studio), GCP (Vertex AI)

LLM & Agent Ops: experiment tracking tools, observability tools, evaluation pipelines, prompt engineering and maintenance tools

Familiarity with containerization technologies (e.g. Docker) and container orchestration systems (e.g. Kubernetes)

Micro-services and REST APIs

Additional information

We offer hybrid and flexible working for most roles to maintain work-life balance while sustaining Avaloq culture globally. We embrace diversity and foster an equal opportunity environment.