AI Software Engineer – LLM & RAG
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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.
