AI Engineer

Writing the future. Together.

Avaloq is a value-driven fast-paced fintech company and we are committed to develop the banking technology of tomorrow.

Leading banks and wealth managers in all major financial centres rely on our software and services, and this unique community grows every day.

Your Team

We are an international and multidisciplinary team providing infrastructure as code to run effectively on the public cloud our client SaaS product implementations lifecycle.

We believe our colleagues comes first, thinking different is an asset and innovation comes by putting customer experience at the centre of our design thinking.

As we expand our customer SaaS deployments, we are currently seeking experienced site reliability engineers (SREs) bringing fresh ideas, demonstrating a unique and informed viewpoint, and enjoying collaborating with a cross-functional team to develop reliable real-world solutions and positive user experiences at every interaction.

Responsibilities

Design, develop, and maintain AI-driven applications and solutions with a focus on reliability, scalability, and availability; Develop solutions using strong programming skills in Python, Java, C, C++, or JavaScript; Design and implement Agentic AI solutions using AI agents, workflow orchestration, and autonomous task execution; Integrate Large Language Models (LLMs) into applications, workflows, and enterprise solutions; Develop, test, and optimize prompts for reliable and effective LLM-based outcomes; Build and maintain AI workflows using orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies; Develop and integrate APIs to connect AI solutions with enterprise applications, data sources, and external services; Create AI-driven automation solutions for repetitive tasks and business processes; Design and deploy cloud-native AI solutions on OCI and AWS; Troubleshoot AI application, integration, and workflow issues and support incident resolution; Follow software engineering and operational processes, including testing, version control, deployment, change management, and incident handling

Requirements

Experience from 4-11 years; Strong programming skills in Python, Java, C, C++, or JavaScript; Strong understanding of Agentic AI concepts, including AI agents, workflow orchestration, and autonomous task execution; Experience working with Large Language Models (LLMs); Prompt Engineering; Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent; API integration and software engineering fundamentals; AI-driven automation and solution development; Cloud-native AI solution development on OCI and/or AWS