• As part of AI-LAB as a Full-Stack Developer, you will be instrumental in building and scaling our AI products. • You will own features end-to-end across a modern Next.js frontend and our NestJS backend services, delivering a seamless and powerful user experience. • Develop and maintain features on our Next.js (App Router) frontend using TypeScript, SWR, Tailwind, and a component-driven design system, with full internationalization (i18n) support. • Design, implement, and maintain RESTful APIs with NestJS (TypeScript) to manage authentication, data processing, billing, usage tracking, and orchestration of AI workflows. • Own backend services end-to-end: from schema design and migrations to deployment and observability, and contribute to new services as the product surface grows. • Integrate and maintain third-party SDKs and APIs that power critical product flows, including payment processing, authentication, analytics, and messaging. • Build AI agents and tools using the Claude SDK and Model Context Protocol (MCP): giving LLMs real-time access to data, APIs, and tools so they can take meaningful actions on behalf of users. • Contribute to schema design with Prisma and PostgreSQL, write and review migrations, and reason carefully about data models that evolve safely over time. • Implement and maintain feature flags, A/B experiments, and analytics events so product decisions are driven by data. • Handle incoming webhooks and asynchronous task processing with the rigor required for payment-critical and PII-handling code paths (idempotency, retries, fault tolerance). • Collaborate with AI product managers and AI specialists to translate complex requirements into robust, scalable features — and push back on complexity when a simpler path exists. • Collaborate on application deployment and help maintain our cloud infrastructure.

Role Description AI Engineer with 6-9 years of experience required along with 2-4 years working in manufacturing domain (Optional). - Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. - Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction. - Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency. - LLM/AI: Hugging Face, LangChain, Open AI API. - RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. - Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders. - Python, R, SQL LLM/AI: Hugging Face, LangChain, Open AI API, RAG pipelines. Qualifications - AI Engineer with 6-9 years of experience. - Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Company Description We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 35 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

• Establishes a technical roadmap for the platform and/or capability strategy and lifecycle that considers value-based outcomes, costs to maintain, supportability, and performance. • Ensures sound integration, data, security, and business architecture design throughout all stages within the platform and/or capability lifecycle. • Provides rapid delivery and development of technical solutions that align with business and/or platform desired outcomes. • Troubleshoots and resolves technical issues related to platform or capability systems, solutions, and services. • Innovates and drives continuous improvements of implementation methodology and technical service offerings based on customer or employee experiences and enterprise objectives. • Participates in a Community of Interest for engineers across all capability and platform teams to share information and strengthen understanding of business needs and technology-based solutions. • Develops and maintains deep technical knowledge and expertise related to domain area systems, solutions, services, and applications.

• Own and scale the platform end to end. • Strong in application code and the AI/ML layer to help build the platform end to end: the extraction engine, accuracy and grounding subsystem, API, and surfaces on top with a substantial, well-architected TypeScript codebase (Next.js monorepo, LangGraph extraction workflow, Azure-native infrastructure). • Read and own existing code, make architectural calls, and ship to production.