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Top Remote Artificial Intelligence Software Engineer Jobs

Reposted An Hour AgoSaved
Remote
United States
184K-248K Annually
Senior level
184K-248K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The Full Stack Software Engineer will design, develop, and maintain AI-powered applications, collaborating with cross-functional teams to create seamless user experiences.
Top Skills: CSSGoHTMLPythonReactTypescript
Reposted An Hour AgoSaved
Remote
United States
203K-274K Annually
Expert/Leader
203K-274K Annually
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead full-stack projects, collaborate with teams to develop user-friendly features, mentor teammates, and handle on-call duties at Dropbox DocSend.
Top Skills: GraphQLHamlPostgresReactRuby On RailsTypescript
An Hour AgoSaved
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Develop and implement AI solutions and backend services, mentor colleagues, and enhance systems reliability while addressing complex challenges in crypto compliance and customer support.
Top Skills: Ai InfrastructureDockerGenaiGoMongoDBPostgresPython
Reposted An Hour AgoSaved
Remote
United States
235K-290K Annually
Senior level
235K-290K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software • Generative AI • Automation
Lead the Brand Intelligence team, driving AI product integration, managing engineering practices, and fostering a high-performance culture while collaborating across teams.
Top Skills: Ai SystemsAPIsRagSaaSSoftware Engineering
Reposted An Hour AgoSaved
Easy Apply
Remote
31 Locations
Easy Apply
130K-140K Annually
Senior level
130K-140K Annually
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Senior Full-Stack Software Engineer position focusing on building, shipping features, and improving code quality using React, TypeScript, and Ruby on Rails.
Top Skills: ReactRuby On RailsTypescript
Reposted An Hour AgoSaved
Easy Apply
Remote or Hybrid
United States
Easy Apply
155K-260K Annually
Senior level
155K-260K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Senior Software Engineer II, you'll develop solutions for Smart Trailers and Connected Equipment, focusing on full stack development and customer impact. Responsibilities include mentoring engineers, advocating for technical health, and driving customer-focused solutions.
Top Skills: GoGraphQLReactTypescript
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Reposted An Hour AgoSaved
Remote or Hybrid
Georgia, USA
22-24 Hourly
Internship
22-24 Hourly
Internship
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The position involves assisting with CAD/RMS system management, database management using SQL, and ensuring compliance with CJIS standards.
Top Skills: Microsoft Sql ServerSQLWindows Server
YesterdaySaved
Remote or Hybrid
Alabama, USA
85K-95K Annually
Mid level
85K-95K Annually
Mid level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The role involves remotely upgrading software for customers in the Call Handling sector, ensuring system integrity, collaborating with R&D, and troubleshooting issues while maintaining communication with various stakeholders.
Top Skills: Analog TelephonyDigital TelephonyHp ServersNetworkingRed Hat LinuxVirtualization
YesterdaySaved
Remote or Hybrid
Alabama, USA
75K-85K Annually
Mid level
75K-85K Annually
Mid level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
Responsible for remotely upgrading Call Handling software at customer sites, ensuring system integrity, and providing technical support and documentation. Collaborates with R&D and communicates effectively with customers.
Top Skills: Hardware And Software Technical SupportNetworkingRed Hat LinuxVirtualization
Reposted An Hour AgoSaved
Easy Apply
Remote
3 Locations
Easy Apply
143K-210K Annually
Mid level
143K-210K Annually
Mid level
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Enable and scale partner technical capabilities by assessing partner readiness, delivering structured enablement and demos, validating enterprise opportunities, recommending architectures, and building reusable workshops, playbooks, and technical resources to support partner-led Webflow solutions.
Top Skills: APIsCSSHTMLJavaScriptWebflow
Reposted An Hour AgoSaved
Easy Apply
Remote or Hybrid
United States
Easy Apply
130K-152K Annually
Senior level
130K-152K Annually
Senior level
Artificial Intelligence • Computer Vision • Greentech • Machine Learning • Robotics • Industrial • Automation
The Software Engineer - Cloud will design and improve cloud infrastructure and data pipelines, develop AI and tooling solutions to enhance recycling operations using machine learning.
Top Skills: AngularDockerFastapiFlaskGCPGitlab CiJavaScriptKubernetesPythonReactSQLTerraform
Reposted An Hour AgoSaved
Easy Apply
Remote or Hybrid
San Francisco, CA, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Security • Software
As a Partner Engineer, you will build integrations between Sonar's code quality tools and partner tools while providing technical support to partners.
Top Skills: CircleCIDockerGithub ActionsGitlab CiGoGraphQLJavaJavaScriptJenkinsKubernetesOauthPythonRest ApisSAMLTypescript
Reposted An Hour AgoSaved
Easy Apply
Remote
United States
Easy Apply
195K-270K Annually
Senior level
195K-270K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Lead and grow an engineering team to build scalable offer generation and personalization infrastructure. Define roadmap, collaborate with product and ML teams, use experimentation and data to optimize user engagement, and deliver production systems that increase customer lifetime value.
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