Avaloq
wealth management technology
AISoftwareEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“AI Software Engineer at Avaloq. Skills: AI Agentic solutions, LLMs, Agents, Python. Lead AI experiments. develop solutions from ideation to production”
What You'll Achieve.
improve operational efficiency; augment Back-to-Front Office user experiences
Industry & Context.
analytical skills
What They're Looking For.
Must Have
B. Sc. degree in Computer Science, Engineering, or a related field, 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, 2 years of experience with LLMs and Agents, Proven track-record of deploying and maintaining AI models in production
Nice to Have
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 You'll Do.
develop solutions from ideation to production
design and implement Agentic AI solutions
Develop advanced prompts
multi-Agents architecture and tools
Deploy and maintain LLM based solutions
Optimize solutions for performance
Optimize solutions for cost
Optimize solutions for scalability
Stay up-to-date and evaluate advancements
evaluate related regulations
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; work collaboratively with industry leaders; Championing a collaborative, supportive and flexible work environment
Communication Scope
Effective communication skills
Full Job Description
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. 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
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