Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Support development and evaluation of AI features and RAG pipelines: prompt experimentation, data preparation, embedding generation, model evaluation, debugging, and basic AI service development using Python and ML tools under senior engineer guidance.

Manage a portfolio of district and charter partners to guide end-to-end school scheduling implementations, provide onboarding and training, troubleshoot data integrations and technical issues, track success metrics, support sales efforts in off-season, and share customer insights cross-functionally to improve product and renewals.

Manage full-cycle recruiting to source, engage, and hire psychologists and therapists for a virtual mental health startup. Build long-term clinician pipelines, verify licenses across states, maintain ATS, report hiring metrics, collaborate with clinical teams, and develop creative sourcing strategies to improve candidate experience and meet hiring targets.

Design, implement, and optimize Solidity smart contracts; participate in technical design discussions and code reviews; prototype DeFi primitives and integrations; provide guidance to external developers; implement unit and fuzz tests and gas optimizations; build SDK abstractions, indexers, and periphery tooling for the protocol and ecosystem.

Lead and maintain the MarTech stack, website conversion infrastructure, data governance, campaign automation, attribution and reporting. Use AI to automate workflows, optimize lead routing and scoring, and partner with Demand Gen, RevOps, Product, and Field to prove pipeline impact.

Design, prototype, and productionize Uniswap v4 hooks across markets. Own hook lifecycle from spec to audited mainnet deployment, publish reference implementations, build integration SDKs/simulators, ensure security with fuzzing/formal methods, and collaborate on metrics and adoption with aggregators and data teams.

Mid-level individual contributor who discovers and documents manual workflows, designs and builds reliable automations using SQL, Python, APIs and AI tools, integrates systems, monitors and maintains automations, and measures impact to reduce manual effort and errors across cross-functional teams.

Lead design, build, deployment, and maintenance of production-grade GenAI systems (LLM apps, agentic workflows, RAG, retrieval, and evaluation). Architect scalable ML services, implement model serving and observability, optimize latency and cost, fine-tune LLMs, translate prototypes to production, mentor engineers, and produce runbooks and documentation.

Join an early engineering hire at a growing SaaS platform for online communities. Scope and deliver new features, write modular TypeScript/React code, enable AI coding agents, monitor production, and troubleshoot issues while influencing product direction and improving platform scalability and developer experience.

Lead ML/NLP work across recommender systems, taxonomies, and agentic AI solutions. Prototype models, advise on data science strategy, mentor teammates, and deliver production-ready, well-documented ML pipelines and insights.