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.