Design and implement and experiment end-to-end AI-powered user experiences Build scalable fullstack solutions that integrate AI models (LLMs, vision, speech) via SDKs, APIs, and custom pipelines. Collaborate with other engineers to optimize model selection, inference performance, and user interaction loops. Contribute to the architecture and infrastructure for AI-first features, ensuring reliability, privacy, and compliance. Bringing the State of the Art to Products Build collaborative relationships with product and business groups to deliver Al-driven impact Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques. Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis. Build rapid Al solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps. Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs. Ability to use data to identify gaps in Al quality, uncover insights and implement PoCs to show proof of concepts. Proven programming expertise (e.g., in Python or leveraging Al-first IDEs and SWE agents), with a strong record of building reliable, well-documented research code that drives rapid experimentation, scalable evaluation, and efficient deployment from prototype to production in applied Al research. Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java or Python. OR equivalent experience. 4+ Overall experience End- end shipping of commercial software, with at least 3+ years of experience in AI/ML, predictive analytics or research, and exposure to generative AI/LLM/SLM algorithms. A Customer focused innovation mindset. Passionate about Craftmanship in engineering. Experience building AI/ML solutions is good to have. Aptitude to learn and adapt with intensity and agility. 8+ Overall experience End- end shipping of commercial software. Experience with cross group design and coordination is an advantage.
