Senior AI Engineer

Job Title: Senior AI Engineer Company: Kaplan Job Category: Machine Learning Roles & Responsibilities: Role summary The Senior AI Engineer leads the design, build and operation of the machine learning models, large language model (LLM) services and agentic systems that drive Kaplan’s AI strategy. Your remit spans learner\-facing products and internal AI\-first business processes. You will be a technical reference point for the AI Engineering team, owning the design of the systems you build and helping set the standard for how we deliver reliable, secure and scalable AI services. * Lead the design, development and delivery of machine learning, LLM and agentic solutions for learner products and internal business workflows. * Architect agentic workflows, including tool use, structured outputs, multi\-agent orchestration and human\-in\-the\-loop patterns. * Champion engineering standards and best practice, and review the designs and code of other engineers. * Own the reliability, cost, security and performance of AI services in production. * Build and maintain evaluation tooling and observability for models and LLM\-based systems. * Mentor AI Engineers and help grow our engineering capability. * Collaborate with teams across Kaplan, including product, data science, design and learning teams, to translate requirements into technical direction. * Stay current with new AI tools and techniques and set direction on their practical adoption. Detailed responsibilities Technical leadership and mentoring * Set and champion standards for engineering quality, code review and reusable patterns. * Lead the technical approach on ambiguous or novel problems. * Own the design of the systems you build and shape architectural decisions across the AI platform, aligned with enterprise architecture. * Mentor and develop AI Engineers through review, pairing and technical guidance. Model and agent development * Lead algorithm and framework selection, and design retrieval and grounding strategies, prompts and embeddings. * Design, build and evaluate agentic workflows using frameworks such as Microsoft Agent Framework. * Evaluate models and LLM\-based systems using agreed metrics and methods, including golden datasets, LLM\-as\-judge evaluation, and tracing and observability tooling. * Partner with data science colleagues, who own modelling and evaluation methodology, while you own production systems and evaluation tooling. Data management * Own containerised deployment (Docker/Kubernetes) to cloud platforms. * Lead automated testing, CI/CD, infrastructure\-as\-code, monitoring and alerting. * Manage the capacity, cost and performance of AI services in production. Collaboration and support * Provide technical guidance to product, learning and content teams. * Lead the resolution of production issues and their root causes. * Act as a technical consultant to business stakeholders on AI\-first workflow redesign. You’ll also carry out other duties, within the broad scope and spirit of your role, as requested by your manager. Our business continuously evolves, so your role will too. Your current role, or recent roles, may be: * AI Engineer at Kaplan, ready to step up * Senior Machine Learning Engineer * Senior Software Engineer leading AI features * Machine Learning Engineer leading the delivery of LLM or agentic systems What you’ll bring to the role This role suits an experienced, pragmatic engineer who leads by example: someone who balances rapid experimentation with production\-level rigour and raises the standard of those around them. Work Location: Bengaluru, Karnataka, India Availability: Full time

* Experience with Google’s agent platform (Gemini Enterprise Agent Platform/Vertex AI, including the Agent Development Kit). * Familiarity with agent interoperability standards such as the Model Context Protocol (MCP) and Agent2Agent (A2A). * Additional programming languages such as C\# and the .NET framework. * Experience with education\-specific standards such as xAPI, LTI or LMS plug\-ins. Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: Not disclosed