Design, build, and deploy end-to-end AI-powered applications and agentic systems. Integrate LLMs and RAG/vector search, develop APIs and UIs, operationalize models, and own CI/CD, containerization, monitoring, and reliability. Mentor engineers, contribute to architecture, and partner with product and security teams to ensure scalable, secure AI production systems.
Full Stack & AI Application Development •Design and build end-to-end AI-powered applications using modern frontend and backend frameworks. •Integrate LLM and agentic AI components into user-facing and system-facing workflows. •Develop APIs and services that support agent orchestration, tool calling, and workflow execution. •Build intuitive UIs for AI-assisted workflows, human-in-the-loop interactions, and monitoring. Agentic AI & Production Systems. Work with ML/Data teams to operationalize models and agentic systems into production. Implement RAG pipelines, vector search integration, and AI inference layers. Handle model lifecycle concerns: versioning, configuration, evaluation hooks, and rollout strategies. Build safeguards, validations, and fallback mechanisms for AI-driven workflows. DevOps, Reliability & Scale Own CI/CD pipelines, containerization, and deployment of AI applications. Ensure systems meet performance, scalability, security, and reliability requirements. •Implement logging, monitoring, alerting, and cost visibility for AI and application components. •Collaborate with platform and security teams to ensure compliance and operational readiness. Architecture & Collaboration. Contribute to system and application architecture decisions for AI platforms. •Write clean, maintainable, well-tested code and review contributions from peers. •Mentor engineers and raise the bar on engineering and AI delivery practices. •Partner with product and business teams to translate requirements into technical solutions. •7+ years of hands-on experience as a Full Stack Engineer or Senior Software Engineer. •Strong proficiency in backend development Python. Strong experience with modern frontend frameworks React. •Hands-on experience integrating AI/ML or LLM-based services into applications. •Solid understanding of REST APIs, microservices, and distributed systems. Design and build end-to-end AI-powered applications using modern frontend and backend frameworks.
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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)
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- 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
