Senior Software Engineer – Machine Learning

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🔥 28 minutes ago

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Yurts

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎖️ Defense

💼 Consulting

📦 Logistics

Defense • Consulting • Logistics

Yurts is a technology company that specializes in developing AI-powered platforms for enterprises and government agencies. The company focuses on enhancing team efficiency by integrating AI assistants into everyday applications, providing solutions that streamline operations, automate workflows, and enhance security and privacy. With a strong emphasis on mission-critical security, Yurts holds credentials from departments like defense and energy, ensuring that data and operations are secure. Their platform supports secure deployment, real-time monitoring, and seamless integration with legacy systems, making it a trusted choice for organizations seeking to innovate and secure their operations.

📋 Description

• Design, build, and maintain core AI capabilities powering intelligent platform experiences • Develop reusable capabilities for model integration, reasoning, multimodal understanding, structured generation, evaluation, and foundational AI functionality • Optimize AI systems through experimentation, quantitative evaluation, context engineering, and iterative refinement • Build backend services, APIs, and distributed AI systems • Partner with cross-functional teams to deploy scalable AI services for AI-powered product experiences • Prototype emerging AI techniques and convert successful experiments into production-ready capabilities • Debug production failures and improve latency, reliability, observability, and operational performance • Apply advances in AI engineering, foundation models, and applied machine learning to customer value • Optimize AI systems for performance, latency, reliability, scalability, and cost • Contribute to a collaborative engineering culture focused on ownership and continuous learning

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related technical field, or equivalent practical experience • 5+ years of experience building production software systems • Strong software engineering skills with Rust, Python, or similar programming languages • Experience building scalable backend services, distributed systems, APIs, or data-intensive applications • Hands-on experience integrating large language models or other foundation models into production applications • Ability to design, evaluate, and improve AI systems through experimentation, quantitative evaluation, and continuous iteration • Familiarity with structured outputs, tool calling, context engineering, multimodal systems, or AI workflows • Strong understanding of testing, observability, reliability, and maintainability • Ability to own technically ambiguous projects from design through production • Excellent communication and collaboration skills across cross-functional teams • Growth mindset and willingness to learn, adapt, and collaborate • US citizenship or Greencard required due to US Government contract requirements • Preferred: experience with reusable AI capabilities, open-source foundation models, AI evaluation frameworks, Kubernetes, cloud-native infrastructure, Rust, RAG, multimodal AI, AI agents, and model orchestration