Top Tech Jobs & Startup Jobs in Chicago, IL

Supports billing operations by answering billing inquiries, researching payroll issues, reconciling accounts, preparing and auditing invoices, monitoring client agreements, maintaining reports, and coordinating with internal departments to ensure accurate and timely billing.

Lead the architecture, implementation, governance, and operation of enterprise AI agents using Amazon Bedrock AgentCore. Design agents, knowledge bases, action groups, orchestration workflows, registries, guardrails, and emergency shutdown controls. Guide ECS deployments, API Gateway integrations, IAM governance, authentication, and platform standardization. Provide technical leadership to engineering and DevOps teams while collaborating with AWS specialists, customers, and business stakeholders.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Develop and own performance-driven creative strategy for eCommerce brands: analyze campaign data, build testing roadmaps, create hooks/scripts/messaging, brief visual creators, review assets, provide performance-focused feedback, and collaborate with media buyers and clients to iterate and drive commercial results.

Supports project managers with planning and coordination of heavy-lift, heavy-transport, and specialized rigging projects. Responsibilities include schedule development, cost tracking, customer submittals, project documentation, proposal support, meetings, site visits, and local field coordination. The intern gains exposure to equipment, project planning, budgeting, scheduling, resource allocation, risk management, and project execution while collaborating with engineers, superintendents, and field teams.

Own mechanical product development from concept and CAD through prototyping, qualification, and production transfer. Design rugged, safety-critical assemblies; define mechanical safety architecture; specify materials, tolerances, finishes, and fasteners; build prototypes; create manufacturing packages; execute environmental and mechanical qualification testing; and manage BOM, weight, and center-of-gravity budgets while collaborating with hardware and software engineers.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Manage strategic relationships with major hyperscaler and colocation data center clients. Drive revenue growth, identify upsell opportunities, negotiate contracts, forecast account performance, resolve escalated issues, and maintain customer satisfaction. Serve as the primary client contact and internal liaison while engaging with executive stakeholders. The role requires experience selling electrical or related engineering services and involves 50% U.S. travel.

Build and maintain backend services, APIs, and integration layers for a modular ecommerce platform. Integrate personalization, semantic and LLM search, DAM, PIM, SAP/HANA, ERP, analytics, and customer data systems. Use AI coding agents throughout development while validating code quality, security, performance, and reliability. Design scalable APIs, automated testing, observability, and reusable architecture while collaborating with internal teams, vendors, and implementation partners.

Own end-to-end AI product development for enterprise clients, from requirements and rapid LLM prototyping through production deployment. Responsibilities include data modeling, ETL pipelines, integrations, evaluation, observability, security, reliability, cost management, and client communication. The role requires shipping real AI products, iterating based on usage, and independently managing ambiguous technical and product decisions.