Full-Stack Product Engineer

About Brightpath Technologies Founded in 2016 in Kraków, Poland , Brightpath Technologies is a technological company working with major European banking , insurance , and telco enterprises . The company was set up with an ambitious goal of providing the best customer service in the world . Lekta stands out from the crowd of conversational AI companies because we combine technological expertise with domain-specific knowledge from contact center industry veterans . Through the use of our proprietary conversational neurosymbolic engine and backend integrations , our systems are intent- and context-aware , handling over 1.5 million conversations every month . Today, with offices in Poland and Spain , Lekta is rapidly expanding its business division to scale operations internationally . About the role Lekta is hiring a Full-Stack Product Engineer to build and evolve the IDE that creators use to design conversational agents — the surface where every Lekta user actually does their work. This is product engineering at the heart of the platform : visual editing , the in-product AI copilot , real-time simulation , and the workflows that decide whether building an agent feels effortful or natural . UX quality is product quality here; the people using your work spend hours inside it every day . You will own features end-to-end across the stack , work close to product and design , and ship into a real customer feedback loop . We are building the next generation of conversational AI — a platform where the creator's experience is itself AI-native . Think of what Lovable did for app-building, applied to conversational agents: a visual IDE , a copilot that helps the user shape, refine and evolve the agent, and a runtime engineered to deploy what gets built into enterprise production . What makes the engineering genuinely hard is the combination our agents have to deliver simultaneously: fluent (natural language, real conversation), fast (sub-second on live voice channels), and reliable (predictable behaviour under real customer pressure, every time). Most stacks force a choice between two of those at the cost of the third. We don't , and that constraint shapes almost every engineering problem we work on. AI is a power tool , and we treat it like one. Lekta engineers are encouraged — and equipped — to use AI deeply across their work: Claude Code , model APIs , copilot tooling . We invest in the accounts, tooling, and time it takes to get fluent with them. We don't measure people on lines committed ; we measure on what gets delivered and how well it holds up in production . We are not an agentic-workflow company . AI generates; the engineer directs and reviews. Every change going out under your name has been read, understood, and signed off by you . Responsibilities Build and evolve the IDE that creators use to design, refine and ship conversational agents — visual editor , simulation , debugging , observability surfaces Build the in-product AI copilot — the assistant that helps users shape, refine, and evolve their agents inside the IDE Own product features end-to-end : from API and data model to UI , including sharing , collaboration , and multi-tenant workflows Deliver high UX quality at the level enterprise customers expect of a tool they spend hours in every day — typography , layout , motion , performance Integrate with the runtime layer to surface live simulation , traces , and operational signals into the IDE Work closely with product , design , and users — both on what to build next and on whether what shipped actually solved the problem Qualities Significant production experience with React and TypeScript at depth , including modern Next.js (or equivalent) patterns Strong full-stack range — comfortable moving between API design , data modelling , and UI in a single feature, owning what you ship after release Eye for UX — you notice when interactions are off, you care about typography , motion , layout , and performance , and you hold the bar even when nobody is watching Comfort with relational databases and ORMs — you can model a feature's data layer without needing a backend specialist on call Track record of shipping production work with AI in your daily loop , and reviewing what it produces Experience building visual editors , AI copilot / assistant interfaces , or developer tools is strongly preferred Fluent in English (B2) and Polish (C1) ; other languages are a plus Why join us Visible impact — your engineering decisions land in real customer experience , not in roadmap slides Real ownership — few layers between you and production, and close work with engineering leadership and founders AI-first workflow with company-paid tooling — Claude Code , model access , IDEs of your choice Flexible contract types ( B2B / Employment Contract ), work arrangements , and working hours Remote, hybrid or in-office — from a location of your choice Direct, low-bureaucracy, results-oriented culture ; no micromanagement Competitive salary , with an honest conversation about trajectory as Lekta scales