Responsibilities
About Us Embedded in client environments, this role leads Forward Deployed Engineers (FDEs) to rapidly develop and debug AI applications to accomplish production-grade deployment, while driving product feature iteration. Responsibilities - Develop a deep understanding of customers business scenarios, rapidly build AI application prototypes for validation, and continuously iterate them into production-grade Agent systems. - Design AI- and cloud-based architectures, and leverage AI-assisted development to rapidly implement solutions within customer environments, effectively integrating with customers application APIs and data systems while complying with their security requirements. - Build high-performance evaluation pipelines and observability frameworks to ensure Agent systems meet requirements for accuracy, safety, and latency. - Identify reusable application patterns and technical challenges, translate them into product feature requests, and help drive product evolution and improvement. - Work closely with customers engineering teams to ensure successful deployment of AI applications, achieving long-term stability, high adoption rates, and sustained business value.
Qualifications
Minimum Qualification(s) - Bachelor's degree or above in Computer Science, Engineering, Mathematics, or a related field, or equivalent hands-on experience. - More than 3 years of software development experience, with strong proficiency in Vibe Coding and substantial practical application of it in real-world projects. - Hands-on experience building AI applications, including areas such as Prompt Engineering, Fine-Tuning, Retrieval-Augmented Generation (RAG), and Agent development. - Experience in cloud-based architecture design and development, including developing with cloud service APIs/SDKs, automated deployment, and designing highly available and scalable systems. Preferred Qualification(s) - Experience developing complex Agent systems, with proficiency in using open-source or commercial Agent development frameworks such as LangGraph, CrewAI, or Agent development SDKs provided by cloud service providers. - Experience delivering AI solutions for one or more industries, including but not limited to education, healthcare, automotive, financial services, telecommunications, and other sectors.
