Top Tech Jobs & Startup Jobs in Chicago, IL

Build and deploy production-grade AI applications and agentic systems for client organizations. Translate ambiguous business needs into architectures, prototypes, workflows, APIs, data pipelines, and scalable products. Engineer agent harnesses, orchestration graphs, evaluations, observability, safeguards, and human controls. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops and pre-sales. Occasional travel may be required for client engagements.

Build and deploy production-grade AI applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products for clients. Translate ambiguous business needs into architectures and prototypes, engineer agent harnesses and orchestration systems, create evaluation and observability frameworks, integrate enterprise systems, and implement security controls. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops, demonstrations, and pre-sales activities.

Build and deploy production-grade AI applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products for clients. Translate ambiguous business needs into architectures and prototypes, engineer agent harnesses, tools, memory, permissions, evaluations, observability, and safeguards, and evolve successful solutions into secure, scalable systems. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops and pre-sales activities.

Build and deploy production-grade AI applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products. Partner directly with clients to translate ambiguous business needs into technical solutions, prototypes, and scalable systems. Design AI harnesses, agent loops, orchestration graphs, evaluation frameworks, safeguards, observability, and integrations with enterprise platforms. Troubleshoot complex systems, communicate technical trade-offs, collaborate cross-functionally, and support workshops, demonstrations, and client delivery.

Build and deploy production-grade AI applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products for clients. Translate ambiguous business needs into technical solutions, design AI harnesses and orchestration systems, create evaluations and observability, integrate enterprise systems, implement safeguards, troubleshoot failures, and communicate technical decisions. The role combines hands-on engineering, customer collaboration, technical discovery, prototyping, and production delivery.

Build and operate production AI knowledge systems, agentic applications, retrieval and memory architectures, and Claude Code workflows. Deploy secure, observable solutions on AWS while establishing governance, evaluation, guardrails, and reliability practices. Lead organization-wide AI adoption through training, workshops, documentation, and champion networks. Partner with technical and business stakeholders to turn ambiguous needs into production systems and continuously improve adoption, productivity, and organizational capabilities.