AI SOFTWARE ENGINEER

I'm partnering with a global leader in digital learning technology that's transforming how millions of students and educators experience personalized, AI-powered learning. Following major investment in generative AI, the company is scaling its AI Platform Engineering team to build the next generation of adaptive learning tools. This is a hands-on engineering role focused on building production-grade generative AI applications that power multiple products across the business. The Role: You'll design and build scalable, full-stack systems that integrate large language models and AI capabilities into digital learning platforms. Working closely with data scientists, product managers, and engineers, you'll help take GenAI prototypes from experimentation to production-driving forward real-world AI impact. Key Responsibilities Develop and maintain AI-powered applications and platform services that are reliable, scalable, and secure Build and optimize LLM-based and RAG-powered solutions using frameworks such as LangChain or LangGraph Collaborate with Data Science teams to productionize models and streamline deployment pipelines Lead and contribute to technical design, architecture, and CI/CD improvements Ensure applications meet accessibility (WCAG 2.2 AA), performance, and security standards Stay current on the latest advancements in GenAI and advocate for best practices across the team About You 5+ years of professional software engineering experience Strong full-stack skills across: Backend: Python, Node.js, or Go Frontend: Angular or React Databases: MySQL/PostgreSQL + NoSQL (e.g., DynamoDB) Cloud/Infra: AWS or Azure, Terraform, CI/CD tools Hands-on experience building AI/GenAI-enabled applications (Azure OpenAI, Amazon Bedrock, etc.) Practical understanding of RAG techniques, vector databases, and AI orchestration tools Strong system design, performance optimization, and collaboration skills Passionate about building impactful technology and staying ahead in the AI space