Job Opportunities API

ABOUT CODEWAY Codeway is a global consumer tech company with more than 400M users worldwide. Since 2020, we’ve built and scaled 60+ mobile apps across creativity, productivity, wellness, language learning, and entertainment. Our flagship apps — Retake AI, Cleanup, Learna, and DramaPops — and many of them lead their categories globally. In 2024, we became the most downloaded app publisher on iOS, driven by cutting-edge AI research, sharp data-driven execution, and a relentless focus on product and marketing. We’re a team of 300+ people across İstanbul and Barcelona who bring curiosity, passion, trust, and ownership to everything we build. Recognized as a #1 LinkedIn Top Startup and a Great Place to Work in Europe, Codeway is where ambitious people do their life’s best work. We’re building the next generation of consumer tech and reimagining what mobile apps can be. This is Codeway. This is our way. Join us. ABOUT WISHLABS Wishlabs is the parent company of Codeway, building consumer generative-AI mobile apps used by millions worldwide. Our flagship product, Retake AI, is a mature product with millions of users, powered by in-house AI models alongside frontier model capabilities. We ship fast, work directly with the models, and turn new capabilities into products people actually use. Our Applied AI team sits at the center of that: close to the models, close to the products. ABOUT THE ROLE We’re looking for an Applied AI Engineer to join our team in Barcelona. This is a hands-on, product-focused AI engineering role for someone who can explore ambiguous product and business areas, identify where AI and agents can create real impact, and build those solutions end to end. The core of the role is discovery. You won’t only be working from clearly defined tickets. You’ll be expected to proactively spot opportunities, propose new AI capabilities, and shape solutions based on what frontier models now make possible. You’ll work closely with Product and internal stakeholders to build AI-powered tools, agentic workflows, and internal products that are reliable, useful, and measurable. The work spans internal AI tooling and product-facing capabilities across our apps. WHAT YOU'LL DO - Explore product and business areas to identify where AI, agents, and frontier model capabilities can meaningfully improve outcomes. - Propose and shape new AI-powered capabilities that may not already be clearly defined. - Build end-to-end AI products, internal tools, and agentic workflows. - Work directly with model APIs such as Claude, OpenAI, Gemini, or similar. - Build agent harnesses, tool integrations, context flows, and custom scaffolding where needed. - Connect agents to tools, data, internal systems, and workflows using MCP or similar integration patterns. - Build usable interfaces and prototypes, particularly using TypeScript/Next.js. - Create repeatable evaluation systems to measure quality, reliability, cost, latency, safety, and regressions over time. - Work closely with Product and internal stakeholders to turn ambiguous opportunities into working solutions. - Think carefully about safety when agents interact with real tools, data, triggers, and internal systems. OUR STACK & APPROACH We build close to the models rather than relying heavily on all-in-one frameworks. Our current approach includes: - Models: Claude as the primary model, plus OpenAI and Gemini depending on the task. - Languages: Python for AI and agent work; TypeScript/Next.js for interfaces. - Agent harnesses: Claude Code / Agent SDK, Codex CLI, OpenClaw, Hermes Agent, and custom scaffolding. - Tool integration: MCP for connecting agents to tools, data, and internal systems. - Memory and retrieval: Vector and memory layers such as Mem0, Zep, or similar when the use case requires it. Experience with frameworks like LangChain or LangGraph is welcome, but we care more about your ability to work directly with