Technical practice
How would you identify the highest-leverage opportunities for an agentic workflow in an engineering team?
What to coverSuggested preparation: Explain how you would learn the team's current workflow, identify repetitive or constrained work, and prioritize opportunities by likely impact and implementation effort. Describe how you would validate a use case before expanding it.
How would you design an agentic workflow that fits an existing engineering or QA process?
What to coverSuggested preparation: Walk through where the agent would contribute, where engineers would review its work, and how the workflow would fit the team's way of building and shipping. Discuss trade-offs between speed, quality, and the effort needed to change established practices.
How would you approach installing, configuring, and optimizing Devin and its associated tools for a customer team?
What to coverSuggested preparation: Outline a staged approach to understanding the team's needs, checking that the setup works, and refining it based on actual usage. The posting names DeepWiki and MCP integrations but gives no configuration details, so avoid assuming specific product features.
How would you troubleshoot an integration that works in a demonstration but not in a team's day-to-day workflow?
What to coverSuggested preparation: Describe how you would reproduce the failure, isolate whether it lies in configuration, the integration, or the surrounding workflow, and confirm a fix with users. Explain how you would document the finding so other teams could benefit.
How would you evaluate an LLM or agent-based workflow before using it on production work?
What to coverSuggested preparation: Discuss testing on representative tasks, checking the quality of outputs, and defining when a person should review or intervene. Production LLM or agent deployment is listed as a potential advantage, not a stated requirement.
During a pair-programming session on a live production problem, how would you decide what to code yourself and what to delegate to an agent?
What to coverSuggested preparation: Show your engineering reasoning, including task decomposition, code review, testing, and how you would explain decisions while working. Use Python, JavaScript/TypeScript, or another language you know well without assuming a prescribed language for the session.
What would change when applying an agentic workflow to support, data, or product work rather than software engineering?
What to coverSuggested preparation: Compare the work product, the people who need to assess it, and what a useful outcome would look like in each context. The posting names these functions but does not specify their processes, so frame examples as possible approaches.
How would you measure whether a deployment produces lasting productivity gains?
What to coverSuggested preparation: Propose a before-and-after baseline, measures of continued usage and work completed, and ways to account for quality or changes in the team's workload. Distinguish initial onboarding from sustained adoption, which the role explicitly emphasizes.
How would you turn productivity measurements into an ROI case for expanding adoption?
What to coverSuggested preparation: Explain how you would connect observed outcomes to a customer's goals and present both benefits and uncertainty. Separate measured results from estimates when discussing whether expansion is justified.
How would you turn a successful workshop or customer engagement into an enablement resource that other teams can use?
What to coverSuggested preparation: Describe what you would capture from live workshops or pair programming, how you would structure a playbook or digital learning material, and how you would check that it transfers to another team. The role calls for repeatable enablement, not just a successful individual session.
Behavioural practice
Tell me about a time you helped an engineering team adopt a technical tool or practice beyond initial onboarding.
What to coverSuggested preparation: Use a real situation/action/result example that shows what blocked adoption, what you changed, and what happened afterward. Include measured impact if you have it, and distinguish sustained use from an initial rollout.
Describe a time you explained a complex technical topic to people with different levels of technical context.
What to coverSuggested preparation: Set out the situation, how you adapted your explanation or demonstration, and the result. Focus on how you checked understanding rather than simply presenting information.
Tell me about a time you had to learn an unfamiliar technology quickly to solve a customer or engineering problem.
What to coverSuggested preparation: Describe the situation, the steps you took to learn and test your understanding, and the outcome. Be clear about what you knew initially and what you verified before recommending a solution.
Describe a time you owned an ambiguous technical engagement and had to decide what outcome to pursue.
What to coverSuggested preparation: Use a situation/action/result account covering how you clarified priorities, chose a course of action, and adjusted when you learned more. This is relevant to the role's emphasis on owning customer outcomes and helping shape a new function.
Tell me about a time you turned lessons from one technical engagement into a repeatable approach for others.
What to coverSuggested preparation: Explain the original situation, what you documented or taught, and the result when others used it. Address what was broadly reusable and what still needed to be adapted to each team.