Top Tech Jobs & Startup Jobs in Chicago, IL

Partner with Founder-CEOs to own budgeting, forecasting, modeling, and performance analytics. Design operating models, maintain rolling forecasts, build KPI dashboards, automate reporting, and provide actionable financial insights to guide hiring and investment decisions across Business Units.

Join a talent network to build full-stack, AI-native products and platforms. Design and implement LLM workflows, agentic systems, RAG/GraphRAG, vector DBs, frontends (React/Next.js), backends (Python/Node.js/FastAPI/Django), integrations, asynchronous workflows, and production infrastructure while working closely with founders and product teams to convert ambiguous problems into scalable solutions.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

The Senior AI Engineer will design and implement personalized agent workflows, memory systems, and evaluate AI agents while collaborating with platform engineering on a proprietary platform.

The Senior Designer will lead visual execution, build scalable brand systems in Figma, and translate strategy into production-ready design, while collaborating across teams.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

The Full Stack Engineer will architect and build 'The SOURCE®' platform, integrating AI and automating workflows while ensuring scalability and simplicity.

Full-cycle enterprise seller responsible for closing $250K–$1M+ deals in regulated markets. Run consultative discovery, solution scoping, executive negotiations, ROI-driven business cases, CRM discipline (HubSpot), playbook development, and represent the company at industry events.

High-trust Executive Business Partner who supports executives by managing calendars, inboxes, travel, projects, and financial admin. Uses AI and automation to streamline work, improve workflows, draft communications, and coordinate cross-functional operations while mentoring teammates and improving systems.

The AI Engineer will design backend systems for workflows, optimize multi-agent pipelines, develop knowledge retrieval systems, and collaborate to integrate workflows using LLMs and traditional systems.