Full Stack AI Engineer (.Net)
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Role details
Tech stack
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Job description
Develop and maintain scalable full-stack products in a .NET-centric environment. Responsibilities include feature development, REST API integrations, testing, code reviews, debugging, performance optimization, deployment, CI/CD participation, and technical troubleshooting. The role requires collaboration across teams, adoption of modern technologies, adherence to software quality standards, and use of C#, .NET, Angular, Azure, SQL Server, and AI-assisted development tools. Top Skills: .NetAngular 17+AzureAzure DevopsC#ChatgptCi/CdClaudeCursorGitGithub CopilotJqueryJSONMicrosoft Sql ServerRest ApisScm ToolsVisual Studio OnlineVisual Studio Team Services Enverus, Territory Manager responsible for selling enterprise SaaS solutions, developing executive and partner relationships, managing pipelines, qualifying opportunities, and achieving revenue targets. The role includes consultative selling, account retention and upselling, business case development, tailored presentations, sales pursuit leadership, CRM and database maintenance, and aligning Enverus solutions with customer objectives. Energy industry experience and knowledge of owner relations, JIB, and revenue processes are preferred. Top Skills: Generative AiMicrosoft AccessExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordSaaSSalesforce Applied Systems, Artificial Intelligence * Cloud * Payments * Software * Business Intelligence * Generative AI * Automation
Requirements
Develop and lead complex AI and data science solutions, shape AI technical strategy, research emerging technologies, resolve large-scale technical problems, and guide cross-functional teams. The role focuses on scalable data solutions, machine learning, deep learning, large language models, generative AI, NLP, computer vision, Python, and Vertex AI. It requires a bachelorβs degree and at least five years of progressive data analytics and data science experience.
Benefits & conditions
Remote or Hybrid United States 179K-200K Annually Senior level 179K-200K Annually, Top Skills: Computer VisionDeep LearningGenerative AiLarge Language ModelsMachine LearningNatural Language ProcessingPythonVertex Ai
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
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