Full-stack Engineer

• Relentlessly focus on user outcomes: discover real user pain points, test hypotheses with working software, and validate impact with user feedback and data.
• Accelerate with AI without compromising quality: use AI-assisted programming and emerging agentic patterns while keeping humans-in-the-loop for correctness, maintainability, and security.
• Continuously push the frontier: explore new AI capabilities (agentic “software engineer” concepts, tool-use, planning) and bring pragmatic, production-minded approaches.
• User-centered prototyping: work with PM and UX to frame user problems, define success metrics, and rapidly deliver prototypes and small bets for testing with real users.
• AI-assisted development using tools like Claude Code, Cursor, GitHub Copilot, OpenAI code models.
• Prototype agentic patterns & orchestration: systems that plan, call tools/functions, and collaborate with other agents; evaluate observability, safety, and cost-of-ownership.
• Build cloud-native throwaway-to-keep prototypes on AWS (API Gateway/Lambda/DynamoDB/Fargate), SQS, EventBridge with CI/CD for quick deploys, preview environments, and fast rollback.
• Maintain solid engineering hygiene at speed (testing including LLM evals, typed APIs, tracing/metrics, prompt/version management).
• Apply AI frameworks when useful (Agents SDK, AI SDK, pydanticAI, LangChain, LlamaIndex) and choose bespoke code when better.
• Collaborate with platform, data, and security teams; produce concise docs and runbooks for handover to production teams.
• Incorporate academic/publishing ecosystem realities (workflows, metadata, IP/licensing) into solution design.
• Stay ahead of emerging technologies and methodologies, introducing new approaches to AI-augmented software engineering.

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