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3 months ago
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About the Role đWeâre looking for an AI Product Engineer who can turn raw ideas into real, working productsâfast.This is a hands-on builder role at the intersection of product thinking, engineering, and AI-native development. Youâll partner with product managers, designers, and engineers to explore new ideas, rapidly prototype solutions, validate user value, and help scale the strongest concepts into production.You should be deeply comfortable working with AI coding agents like Claude Code and Codex as core toolsânot just for speed, but for building reliable, production-ready systems. This role isnât about âvibe codingââitâs about combining AI-driven velocity with strong engineering and product judgment.Youâll build across multiple domains, including e-commerce, e-learning, and fintech/trading, with the freedom to experiment and the responsibility to ship.What Youâll Do đ ïžTurn ambiguity into executionTranslate rough ideas into clear product concepts, flows, and working prototypes.Build fast with AI agentsUse tools like Claude Code, Codex, and similar workflows to ship MVPs, experiments, and production components quickly.Design AI-native productsCreate experiences where AI is core to the productânot just an add-on.Develop agent workflowsDesign systems that combine prompts, tools, retrieval, memory, and orchestration patterns effectively.Bridge prototype â productionKnow when something is âgood enoughâ to validateâand when it needs to be hardened for scale.Collaborate cross-functionallyWork closely with product, design, and engineering to prioritize high-impact problems and ship quickly.Build across the stackContribute to frontend, backend, integrations, internal tools, and automation as needed.Ensure reliabilityImplement lightweight evals, QA checks, and monitoring for AI-driven systems.Document and scale learningsCapture insights, reduce handoff friction, and turn experiments into repeatable patterns.What Weâre Looking For đCore StrengthsStrong product instincts â you simplify complexity, identify user pain, and focus on what matters.Strong builder mindset â you prototype first, refine later.AI-native development experience â hands-on with tools like Claude Code, Codex, or similar.Technical & AI ExpertiseDeep experience with AI coding agents: Task decomposition, context management, output review, and iteration; Multi-file changes, tool usage, and workflow orchestration.Solid understanding of agentic systems, including: Prompt design and decomposition; Tool integration and context strategy; Structured outputs and failure handling.Familiarity with agent orchestration patterns: Single-agent vs multi-agent tradeoffs; Sequential, concurrent, and handoff workflows.Experience integrating APIs, tools, and data systemsAbility to move from prototype to production with sound engineering judgmentWays of WorkingComfortable operating in fast-moving, ambiguous environmentsStrong communicator across both technical and non-technical stakeholdersAbility to contribute across multiple product domainsIdeal Candidate đThe ideal candidate combines the speed of AI-driven development with the discipline of strong engineering and product thinking.You donât just generate codeâyou:Review, test, and refine it;Structure it for maintainability;Know when to move fastâand when to slow down.You understand the difference between quick experiments and systems that can scaleâand you know how to build both.Nice to Have âExperience building AI assistants, copilots, or agent-based systemsFamiliarity with evals, retrieval, tracing, and observabilityExperience with product analytics and experimentationFull-stack development experienceBackground in e-commerce, edtech, fintech, or trading systemsExperience building internal tools or zero-to-one productsExposure to regulated or high-stakes environmentsHow Success Will Be Measured (First 90 Days) đShip multiple high-quality prototypes and internal toolsSignificantly reduce time from idea â testable productDemonstrate strong judgment in: When to use AI agents; When to simplify; When to productionizeCreate reusable patterns for AI-assisted product developmentContribute meaningfully across multiple product areas
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