AI Software Engineer – LLM & RAG

Responsibilities Develop and validate AI platform functionality using LLM harnesses and agent workflows . Translate business needs into user stories, functional requirements, and acceptance criteria. Onboard teams to new AI capabilities through workshops, demonstrations, and hands-on sessions. Measure and collect user feedback to drive continuous improvement of the platform. Assess internal and external AI capabilities to provide recommendations for future enhancements. Maintain clear documentation ensuring traceability from business requirements to technical implementation. Requirements You have 3+ years of experience in functional analysis, requirements engineering, and process modeling. You bring technical knowledge of LLM harnesses , agent workflows , RAG , and prompt engineering . You possess a solid understanding of CI/CD pipelines and cloud infrastructure tools such as Azure , Kubernetes , and Terraform . You're skilled in designing test scenarios and automated evaluations for model behavior and tool integration. You have experience inspecting logs and agent execution traces to debug issues related to token usage, context, and latency. You're proactive and solution-oriented with a proven track record in stimulating user adoption and onboarding. You are fluent in English . Nice to Haves Development experience in Python and TypeScript . Knowledge of Figma and design thinking practices. Experience with Targetprocess or similar Agile project management platforms. Familiarity with digital user experience, web design, or marketing content design.