AI Software Engineer
Role details
Job location
Tech stack
Job description
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
Requirements
- 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
It would be a real bonus if you have
- Contributions to open-source AI projects
- Experience in developing core banking systems and/or wealth management solutions
- Knowledge of the latest advancements in AI ethics and responsible AI practices
- Front-end development experience
- TypeScript, Angular
- Java, SprintBoot, Kotlin