Staff Software Engineer - AI

Experteer Overview As Senior Staff Software Engineer, you will lead design and deployment of AI/ML solutions that power intelligent decisions across the enterprise. You will shape agentic AI systems, generative workflows, and scalable data platforms within a collaborative, cloud-native environment. You drive cross-functional collaboration and ensure ethical, compliant AI practices while staying current with AI advancements. This role offers impact at scale, shaping AI-driven testing, automation, and software quality across teams. Compensation / Benefits * Develop agentic AI algorithms enabling autonomous task execution * Design multi-agent frameworks to orchestrate intelligent workflows * Build ML techniques for agents that learn and adapt over time * Translate business requirements into AI solutions used in production * Collaborate with data scientists, software engineers, and product teams to integrate AI * Perform context and prompt engineering to optimize model performance * Optimize agent systems for performance, scalability, and accuracy * Lead AI-driven testing and autonomous testing strategies * Promote ethical AI, data privacy compliance, and transparent documentation * Stay current with AI/ML advancements and share findings Tasks * Proficiency in Python, Java, or C++ * Experience with AI/ML algorithms and data structures * Cloud platform experience (AWS, Azure, GCP) * Familiarity with MLOps tools (MLflow, Kubeflow, Docker) * Experience with agent orchestration, LLMOps, model lifecycle management, vector search, information retrieval, knowledge graphs * Version control experience (Git) * Experience with agent orchestration platforms and enterprise integration * Strong problem-solving and collaborative skills Key requirements * annual bonuses * long-term incentives * on-the-spot recognition * bonus potential * total compensation package * flexible benefits (perks page)

Java, agent systems for performance, scalability, and accuracy * Lead AI-driven testing and autonomous testing strategies * Promote ethical AI, data privacy compliance, and transparent documentation * Stay current with AI/ML advancements and share findings Tasks * Proficiency in Python, Java, or C++ * Experience with AI/ML algorithms and data structures * Cloud platform experience (AWS, Azure, GCP) * Familiarity with MLOps tools (MLflow, Kubeflow, Docker) * Experience with agent orchestration, LLMOps, model lifecycle management, vector search, information retrieval, knowledge graphs * Version control experience (Git) * Experience with agent orchestration platforms and enterprise integration * Strong problem-solving and collaborative skills Key requirements * annual bonuses * long-term incentives * on-the-spot recognition * bonus potential * total compensation package * flexible benefits (perks page)