AI Engineer

## About the project - Build the global AI data infrastructure that powers the future of finance! - We are looking for an AI & Data Engineer who is passionate about building production-ready AI and data solutions from the ground up. You'll join a small, high-performing engineering team responsible for developing the AI capabilities and data infrastructure that power our next-generation WealthTech platform. - This isn't about building another chatbot. You'll help create the technology that transforms fragmented financial data into trusted, AI-ready data products used by intelligent applications and autonomous systems. - You'll work closely with the Data, Product, Engineering, and cross-functional teams across the US, Switzerland, Poland, and Singapore. ## This is how we work - in house - scrum ## Team members - backend developer ## Your responsibilities - Design, build, and maintain AI-powered services and backend applications. - Develop data pipelines for ingesting, validating, normalizing, enriching, and transforming financial data from multiple sources. - Build and optimize LLM-based applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions and orchestration workflows. - Develop APIs and services exposing AI-ready financial data objects. - Design prompt engineering strategies, model evaluation, benchmarking and observability. - Evaluate and optimize AI solutions for accuracy, reliability, latency, token usage and cost. - Collaborate with Product and Engineering teams to translate business requirements into scalable technical solutions. - Contribute to designing scalable cloud-native architecture and backend services. - Write clean, maintainable, and well-tested production code. - Participate in code reviews, architecture discussions, and continuous improvement initiatives. - Support deployment, monitoring, troubleshooting, and performance optimization of AI applications. - Continuously evaluate new models, AI technologies, frameworks, and best practices. - 3+ years of professional software engineering experience, with strong background in backend, data or machine learning engineering. - Strong Python programming skills. - Experience building production-grade backend applications and APIs. - Hands-on experience building applications with modern LLMs, including AI agents, agentic workflows, RAG architectures and orchestration frameworks (e.g. LangChain, LangGraph, LlamaIndex, Semantic Kernel). - Experience with prompt engineering, model evaluation and testing AI applications - Experience working with relational databases (PostgreSQL) and vector databases (e.g. pgvector, Qdrant, Pinecone). - Understanding of modern data engineering concepts and ETL/data pipelines. - Experience working with cloud platforms (preferably Azure). - Familiarity with Docker, Kubernetes, Git, and CI/CD. - Knowledge of REST APIs and distributed systems. - Strong problem-solving skills and ability to work independently. - Very good English communication skills. ## Optional - Experience in FinTech, WealthTech, banking, or financial data. - Experience with MLOps, model monitoring, evaluation, and observability tools (e.g. Langfuse, MLflow). - Knowledge of Azure AI, Azure OpenAI, Databricks, Microsoft Fabric, or similar technologies. - Experience with event-driven architectures and messaging systems. - Understanding of AI governance, security, privacy, and regulated environments. - Experience working in startups or building products from scratch. ## What we offer - Mission before ego. - Builders over managers. - Small, elite teams. - Q-SOCS™ – Quality - Speed, Ownership, Challenge, Solutions - Speed over bureaucracy. - Ownership and accountability. - The best idea wins-not the highest title. - High-quality solutions delivered ## Recruitment stages - Recruitment Interview ## What we're looking for? - We are looking for someone who enjoys building software, solving complex engineering problems, and taking ownership. ## WEALTHARC sp. z o.o. - WealthArc is one of the fastest-growing WealthTech platforms for independent asset managers in Switzerland. Built on modern cloud technologies, we provide a 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 and fintech industry.