Top Tech Jobs & Startup Jobs in Chicago, IL

Design end-to-end mobile and web product experiences for insurance, payments, claims, and investments. Create user flows, wireframes, prototypes, and polished interfaces; build scalable design systems; collaborate with PMs and engineers; iterate using product data and user feedback to improve usability and accessibility.

Design and deliver pixel‑perfect mobile interfaces for iOS and Android financial products. Create wireframes, prototypes, and production-ready UI; build and maintain mobile design systems; collaborate with engineers and PMs; iterate using analytics and usability findings to ensure accessibility and platform-consistent experiences.

Lead and execute high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; research markets and opportunities; identify operational problems and implement solutions; own projects end-to-end and deliver measurable business outcomes.

Lead high-priority, cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; plan and execute projects end-to-end; research markets and products; identify operational improvements; and deliver measurable business outcomes through strong ownership and stakeholder management.

Design polished mobile-first and web interfaces for BJAK's AI and financial products. Create wireframes, user flows, prototypes and high-fidelity UI; maintain and evolve the design system; collaborate with product managers and engineers to deliver pixel-perfect implementations; iterate using user feedback, analytics and usability testing while ensuring accessibility and responsiveness.

Lead architecture and engineering for AI-powered applications across backend, mobile, and desktop. Own reliability, observability, APIs, and model integrations. Grow and mentor a small senior applications team, drive production readiness, and make high-impact tradeoffs across latency, cost, security, and user experience to deliver reliable, low-latency AI-enabled workflows.

Lead product definition and execution for AI-powered assistant systems. Define end-to-end requirements, translate model capabilities into product decisions, design evaluations, balance trade-offs (quality, latency, cost, reliability), and work closely with ML, backend, and mobile engineers to ship reliable, user-trusted AI features.

Lead research and intelligence direction for a high-frequency AI assistant: set model and systems strategy (memory, reasoning, planning), choose architectures, define real-world evaluation and safety frameworks, drive frontier techniques, and partner with product and engineering to ship robust, production ML systems.

Design, build, and operate large-scale ML systems across data, training, evaluation, inference, and deployment. Lead GPU-optimized training and inference pipelines, ensure reliability, performance, safety, and seamless integration into products. Own production deployments, monitoring, and cross-functional best practices to drive measurable model improvements and efficient research-to-production cycles.

Lead the end-to-end ML execution: build and operate data pipelines, training and evaluation systems, and scalable inference. Fine-tune and optimize large models (LoRA/QLoRA/SFT/DPO/distillation), ensure GPU efficiency, monitor production quality, collaborate with product and application engineering, and rapidly ship reliable, safe ML solutions that translate research into production.