AI Engineer

WealthArc is one of the fastest-growing WealthTech platforms for independent asset managers in Switzerland. Built with modern cloud technologies, we provide the first fully SaaS-based solution designed to simplify and centralize wealth management operations. Our mission is to become the future data hub for the wealth management and private banking industry. 

We are building a new AI capability within the WealthArc fintech platform. Our mission is to create AI-native products and intelligent workflows for the wealth management industry, combining large language models, financial data, and autonomous agents to solve complex real-world problems. 
In this role, you will work on customer-facing AI solutions such as: 

• AI agents supporting financial and investment workflows 

• intelligent document processing and financial document analysis 

• data intelligence systems operating on large structured and unstructured datasets 

• LLM-powered assistants for portfolio management and wealth advisory use cases 

• AI workflows integrating portfolio, market, and custodian data 

At the same time, you will help shape internal AI capabilities that improve the entire product development lifecycle - from engineering productivity and code generation to automated testing, documentation, data operations, and developer workflows. 
You will collaborate closely with Product, Engineering, and business stakeholders to design and build scalable AI systems that can operate reliably in a regulated financial environment. 
We are looking for people who enjoy solving complex technical challenges, experimenting with modern AI technologies, and turning prototypes into production-ready systems with real business impact.
 
Responsibilities: 

• Design and build AI-powered products for the wealth management industry, combining LLMs, financial data, and autonomous workflows.  

• Develop and integrate intelligent AI agents that support financial analysis, decision-making, and operational automation. 

• Create AI modules capable of interacting with structured financial datasets, investment data, and portfolio management systems. 

• Build solutions for document understanding, data extraction, and automated analysis across financial and operational workflows. 

• Develop and maintain scalable data pipelines for processing, transforming, and enriching structured financial data using Python and SQL.  

• Experiment with modern AI frameworks, LLM orchestration patterns, and agent architectures to bring new capabilities into production.  

• Deploy, monitor, and improve production-grade AI services in cloud environments with a focus on reliability and scalability.  

• Contribute to AI infrastructure for model experimentation, evaluation, prompt engineering, and workflow automation.  

• Collaborate closely with Product, Engineering, and domain experts to turn business problems into practical AI solutions.  

• Support internal AI initiatives that improve software development workflows, including engineering productivity, automation, testing, and developer tooling.  

• Continuously explore emerging AI technologies and help shape how AI capabilities evolve across the WealthArc platform and organization. 

 
Requirements: 

• 2+ years of hands-on experience building AI/ML systems, including work with LLM frameworks, AI agents, or modern AI tooling. 

• Strong Python programming skills and experience building backend or data-driven applications.  

• Familiarity with modern AI tooling and ecosystems (e.g. LangChain, OpenAI APIs, vector databases, orchestration frameworks).  

• Good understanding of structured data processing using SQL and Python.  

• Experience building or maintaining APIs, automation workflows, or production-grade services.  

• Understanding of cloud environments and scalable system design principles.  

• Ability to work with complex datasets and transform business problems into practical technical solutions.  

• Strong analytical thinking, problem-solving skills, and attention to detail.  

• Good communication skills and ability to collaborate across Product and Engineering teams.  

• Proactive and solution-oriented mindset, with the ability to take initiative and respond constructively to feedback.  

• Collaborative team player who values transparent communication and knowledge sharing as part of everyday work. 

• Understanding of economics, financial markets, investment principles, or related domain. 

• Professional knowledge of English (spoken and written). 

Nice to have: 

• Experience with financial systems, fintech products, or investment data.  

• Familiarity with MLOps, prompt engineering, evaluation pipelines, or model deployment workflows.  

• Experience working with Azure cloud ecosystem.  

• Understanding of autonomous agents and multi-step AI workflows. 

   

We offer: 

• Access to private medical care (Medicover) and Multisport card to support your health and wellbeing

• Flexible working hours with a hybrid/remote setup and workation options  

• Annual training budget plus access to courses and conferences for continuous growth  

• Fast-paced career growth in a scaling organization with real business impact. 

• Opportunity to work on innovative, tech-driven projects in the financial sector. 

• Flat organizational structure with fast decision-making and minimal bureaucracy. 

• Strong team culture with integration events, offsites, and regular team lunches  

• Supportive environment of experienced, like-minded people focused on problem-solving and innovation