4,029 Software Engineering jobs available for remote work from home. Apply for positions such as Internal Platform / DevOps Engineer (Associate) - Remote, AI Capability Center (AICC), Senior AI Engineer (Remote), Lead Software Engineer - (LLM/AI/ML Solutions, Python/Typescript/Nodejs, with strong API development skills), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, implement, and maintain CI/CD pipelines for AI and analytics solutions. Collaborate with AI Engineers and Solution Architects to develop platforms and operational frameworks.
The Senior AI Engineer will lead the design, development, and implementation of robust and scalable pipelines and backend systems for Generative AI applications. This includes orchestrating data flow, integrating AI services, and ensuring the smooth operation of backend infrastructure.
You will architect workflows for task automation and implement agents to automate repetitive tasks. Additionally, you will design techniques for insight generation from complex datasets and maintain robust data pipelines.
The Junior Software Engineer will assist with the design, development, and installation of software solutions. Responsibilities include writing code, documenting functionality, and ensuring compliance with coding standards and technical design.
The Junior Software Engineer will assist in the design, development, and installation of software solutions. Responsibilities include writing code, documenting functionality, and ensuring compliance with coding standards and technical design.
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The Junior Software Engineer will assist with the design, development, and installation of software solutions. Duties include development, writing code, and documenting functionality.
Design, implement, and maintain reliable, scalable software solutions. Collaborate with cross-functional teams to solve complex challenges and deliver high-quality features to customers.
The Sr Systems Engineer is responsible for supporting the installation of enterprise database management system software across multiple environments. This includes Oracle database administration activities, troubleshooting issues, and performing maintenance tasks.
Design, build, and maintain scalable, reliable, and secure infrastructure to support Prepared’s platform. Architect and implement core systems while contributing to the long-term strategy of the platform.
Lead the design and development of solutions for complex technical projects while acting as a subject matter expert. Collaborate with various stakeholders to solve technical problems and ensure timely progress of system design and development tasks.
As a Lead Analytics Engineer, you'll architect the data foundation that powers strategic decisions across the organization. You'll transform raw data into trusted, reusable data products using DBT and modern data tools.
Implement and support serverless APIs and automations using Azure Functions, Power Automate, and Dataverse/D365 CE. Collaborate with senior engineers and architects to deliver secure, reliable integrations and modernize legacy automations.
Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. Your role will involve owning the full development lifecycle, from architecture and testing to deployment and monitoring.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. Your role will involve owning the full development lifecycle, from architecture and testing to deployment and monitoring.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with data scientists and ML engineers to integrate these models into scalable backend systems. Additionally, you will design intuitive UIs and own the full development lifecycle from architecture to monitoring.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver polished solutions. Your role will involve owning the full development lifecycle and continuously improving AI-integrated applications.
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Build and deploy full-stack applications that incorporate machine learning models and develop APIs and backend services for intelligent features. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
Build and deploy full-stack applications that incorporate machine learning models and develop APIs and backend services for intelligent features. Collaborate with cross-functional teams to deliver polished, end-to-end solutions while continuously improving application performance and usability.
Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
The Software Engineering Lead will own the technical delivery and outcomes of AI-driven features from design through production. This role involves driving planning and prioritization for AI initiatives and building and deploying AI systems.
Design and evolve the architecture for AI-driven systems across the Consensus platform. Collaborate with the Intelligence team to define how AI capabilities integrate throughout the product.
Lead technical discovery and demos during early-stage calls with Account Managers. Deliver tailored live demos and translate customer pain points into relevant AI-powered solutions.
The Senior Software Engineer will be responsible for designing, developing, and maintaining feature buildouts to support a world-class user experience. They will also ensure system stability and reliability while participating in code and design reviews.
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The Security Engineer will lead the design of secure operations for Harness' cloud and business infrastructure, implementing and overseeing security tooling. They will also collaborate with engineering teams to enhance security processes and respond to security incidents.
Lead the design and development of backend systems that enable scalable AI solutions for over 167,000 customers. Drive the integration of large language models into production systems to power AI agents for real-time customer experiences.
As a Gartner Analyst, you will create and advise on a portfolio of Gartner research, providing insights and actionable advice to clients in cybersecurity roles. You will also support sales efforts and engage with clients to help them overcome barriers and drive strategy forward.
As a Gartner Analyst, you will create and advise on a portfolio of Gartner research, providing insights and actionable advice to clients in cybersecurity roles. You will also support sales efforts and engage with clients to help them overcome barriers and drive strategy forward.
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