Beschreibung
AI Software Engineer
Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.
We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.
AI Software Engineer
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
Required profile
At least . 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
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
What we offer
Annual bonus or sales reward
At Avaloq we work hard to remain an industry leading provider and we love to reward our colleagues with a share of that success with an annual bonus, you will even remain eligible for annual bonus while you do the hardest job of your life - taking care of your children during parental leave.
Flexible working
We understand that fitting your life around your job can be challenging which is why in most roles we offer flexible working to allow you to thrive both in and out of work.
Kudos instant recognition scheme
We love to see people thriving in their roles and we have an instant recognition scheme at Avaloq to help managers reward the great work our colleagues deliver with a gift to say thanks.
Access to Udemy for professional and personal learning
We think it is important to learn and grow professionally, but if you are someone who likes to learn outside of work we give you access to online learning for both professional and personal learning, with over 210,000 courses to choose from. jid9214ecea jit0625a jiy26a
