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2 software engineer full stack jobs found

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Robert Half software engineer full stack $150,000 - $200,000
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Robert Half
Aug 27, 2026
Full time
Full Stack Software Engineer III - Remote
$102,000 - $150,000 yearly
Robert Half Remote (Remote)
Our client is at the forefront of transforming how teams work through secure, enterprise-grade generative AI applications. They are developing and enhancing an advanced AI-powered assistant for internal use — enabling employees to harness AI safely within a protected environment. The Full Stack Software Engineer III will help design, develop, and evolve the next-generation AI platform, driving innovation while ensuring scalability, security, and exceptional user experience. This role spans the full stack — from back-end integration to front-end interfaces — in close collaboration with product, design, and AI engineering teams. What You’ll Do Design, develop, and enhance AI-enabled enterprise applications that boost productivity and collaboration. Build and optimize features using large language models, prompt engineering, and AI-assisted workflows. Write efficient, maintainable, and scalable code across database, middleware, and front-end layers. Develop low- to...
Robert Half
Aug 27, 2026
Full time
Machine Learning Engineer
$200,000 - $300,000 yearly
Robert Half Menlo Park, CA
Machine Learning Engineer Company Overview Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role Summary The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP),...
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