AI Engineer

We are looking for an experienced and driven Lead / Senior Lead / Principal AI Engineer to join our R&D AI Engineering team. In this role, you will play a critical part in shaping, building, and scaling AI-native solutions across our products, with a strong focus on Applied AI, Generative AI, and agentic systems. You will lead the design and delivery of complex AI/ML systems end-to-end, covering model integration, advanced retrieval-augmented generation (RAG), agent-based architecture, evaluation frameworks, and production-grade AI platforms. This role requires deep technical expertise, strong architectural judgment, and the ability to leverage emerging agentic AI frameworks and AI-assisted development tools to accelerate delivery while maintaining enterprise-grade quality, safety, and reliability. Tasks included but not limited to: • Design, implement, and evolve production-grade AI/ML and Generative AI architectures, including advanced RAG systems and agent-based workflows. • Lead integration of LLMs and AI services into enterprise platforms, ensuring scalability, security, and reliability. • Drive architectural decisions, perform trade-off analysis, and author high-quality design artifacts and ADRs for complex systems. • Build and standardize AI evaluation and testing frameworks covering quality, reliability, safety, bias, and performance. • Leverage agentic AI frameworks and AI-assisted development tools to build, debug, troubleshoot, and ship features efficiently to production. • Collaborate closely with Product, Architecture, Data, and Platform teams to align AI solutions with business outcomes. • Mentor and coach engineers, lead technical reviews, and guide teams through complex problem-solving. • Proactively improve AI engineering practices, tooling, and standards across the organization. • Stay ahead of advancements in Applied AI and contribute to strategic experimentation and innovation initiatives. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or a related field (or equivalent practical experience). • Significant experience delivering and owning complex, high-impact software or AI systems. • Advanced proficiency in one or more mainstream programming languages such as Python, Java, C#, Go, or TypeScript. • Strong expertise in Applied AI, including LLM integration, advanced prompt and context engineering, advanced RAG architectures, agent frameworks, and AI evaluation. • Experience with cloud-native architectures, CI/CD pipelines, and operating AI systems in production. • Ability to lead technical direction, mentor engineers, and influence architectural decisions across teams. • Strong written and verbal communication skills with the ability to engage both technical and non-technical stakeholders. • Demonstrated ability to rapidly adopt new AI frameworks, tools, and paradigms and apply them effectively in real-world delivery.