Develop AI agents and multi-step workflows that support ELSE digital service and asset management use cases.
Turn solution designs into scalable, production-ready implementations across the ELSE landscape.
Connect agent workflows with enterprise platforms, operational data, APIs, and digital tools used in ELSE services.
Define effective patterns for tool use, context management, memory, orchestration, and workflow execution.
Create evaluation and validation approaches to ensure agent quality, safety, accuracy, and performance in real use cases.
Implement human approval flows, fallback mechanisms, and operational guardrails.
Ensure production readiness through testing, monitoring, deployment automation, and controlled releases.
Work closely with architects, product owners, data engineers, and software teams to deliver reliable, business-ready ELSE solutions.
Our requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical field.
7+ years of experience in software engineering, including designing and delivering enterprise-grade backend and cloud-based solutions.
2-3+ years of hands-on experience building AI-powered applications, LLM-integrated systems, or agent-based workflows in production environments.
Strong backend engineering skills, ideally in C#/.NET, with Python as a strong plus.
Strong experience with APIs, Git, CI/CD, cloud deployment, and secure enterprise integration.
Experience with agent evaluation, testing, verification, RAG, memory patterns, context man-agement, and agent control mechanisms.
Experience monitoring and optimizing AI systems for reliability, performance, and cost.
Understanding Microsoft enterprise security, compliance, and identity patterns, with the ability to collaborate effectively across technical and business teams and mentor colleagues.
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