Full Stack Engineer (AI)

Full Stack Engineer (AI) Experience: 3–5 Years Role Overview We are looking for a talented and hands-on Full Stack Engineer (AI) to design, build, and maintain scalable software systems and AI-powered product experiences. The ideal candidate will have strong experience across modern full stack development, with a solid understanding of building reliable AI workflows, testing systems, and production-grade applications. This role requires a balance of software engineering excellence, AI system design, quality engineering, and strong communication skills to collaborate effectively across technical and non-technical teams. What We’re Looking For • Proven experience in designing and building scalable, reliable, and maintainable software systems. • Strong proficiency in modern web development technologies such as React.js, TypeScript, and Node.js . • Deep understanding of browser architecture and frontend performance considerations. • Experience building LLM-powered workflows , including: • Retrieval-Augmented Generation (RAG) • Tool calling • Structured outputs • Agent-based workflows • Human-in-the-loop patterns • Experience creating evaluation pipelines using: • Golden datasets • Regression tests • Deterministic evaluators • LLM-as-a-judge approaches • Ability to implement observability, monitoring, guardrails, fallbacks, and validation for dependable AI systems. • Strong judgment in balancing model quality, latency, reliability, maintainability, and cost . • Hands-on experience with automated testing across unit, integration, and end-to-end layers. • Familiarity with test automation frameworks , CI/CD pipelines, and infrastructure concepts. • Solid understanding of agile engineering practices and software delivery workflows. • Strong troubleshooting and debugging skills, with the ability to analyze complex system behavior, logs, and root causes. • Excellent communication skills with the ability to explain technical trade-offs, risks, and quality standards to diverse stakeholders. Key Responsibilities • Design and develop full stack applications with a focus on scalability, performance, and maintainability. • Build and integrate AI/LLM features into production systems. • Develop robust RAG and agent-based workflows to support intelligent product experiences. • Create and maintain evaluation frameworks to measure AI system quality and stability. • Implement monitoring, guardrails, and fallback mechanisms to ensure safe and reliable AI behavior. • Write clean, testable code and contribute to automated testing and CI/CD improvements. • Collaborate with product managers, designers, engineers, and other stakeholders to deliver high-quality solutions. • Debug production and development issues efficiently and provide root cause analysis. • Maintain technical documentation and support knowledge sharing across teams. Preferred Qualifications • Experience shipping AI-driven products in production environments. • Exposure to cloud platforms, containers, and modern deployment practices. • Familiarity with prompt engineering, model selection, and AI system evaluation. • Experience working in cross-functional, agile teams. Soft Skills • Strong ownership and accountability • Collaborative mindset • Problem-solving attitude • Ability to work in fast-paced environments • Clear verbal and written communication When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/) Confidentiality is assured, and only shortlisted candidates will be notified for interviews.