Top Tech Jobs & Startup Jobs in Chicago, IL

Develop generative AI solutions using Python, AWS, LLMs, chatbots, prompt and context engineering, RAG, vector databases, and agentic AI frameworks. Build coding prompts and contexts with GitHub Copilot, Claude Code, and Amazon Q Developer to convert business stories into production code and pull requests. Design autonomous and multi-agent workflows, memory and token-management systems, caching strategies, MCPs, and real-time AI decisioning features. Auto-lending experience and A/B testing expertise are advantageous.

Administers and supports Omnissa Workspace ONE, Microsoft Intune, and macOS endpoints while developing ServiceNow and Power BI dashboards, KPIs, and executive reports. Automates reporting and operational workflows using Power Automate, PowerShell, Python, and APIs. Monitors endpoint compliance, system health, and security posture; partners with engineering, security, and operations teams; and documents incidents, resolutions, and change-management activities.

Develop and support Salesforce solutions using declarative tools, Apex, Lightning Web Components, asynchronous processing, SOQL, SOSL, Salesforce DX, APIs, and metadata-driven configuration. Provide production support, estimate and design enhancements, implement new functionality, and lead offshore team members supporting production and enhancement delivery.

Develops, configures, and supports Salesforce Service Cloud and Experience Cloud solutions. Builds Apex classes, triggers, batch jobs, Flows, Lightning Web Components, Aura Components, and Visualforce applications. Integrates Salesforce with enterprise and third-party systems through REST and SOAP APIs. Handles security configuration, code reviews, testing, deployments, release management, troubleshooting, and production support while collaborating with stakeholders in Agile environments.

Designs, develops, and deploys enterprise applications using Java, Spring Boot, microservices, REST APIs, cloud services, databases, DevOps tools, and Angular or React. The role also involves AI exposure with Python, LangChain, and LangGraph, along with application security, monitoring, performance, deployment, and collaboration with project teams. The position is onsite in McLean, Virginia.

Owns end-to-end testing decisions and coordinates scenario alignment, stakeholder sign-off, testing team readiness, testbed criteria, test data preparation, and status communications throughout unified testing.

Manages data center vendor procurement and delivery activities, including obtaining quotations, negotiating terms, coordinating kickoff and status meetings, monitoring timelines, validating testing and turnover documentation, coordinating patching and end-to-end testing, and updating installation, acceptance, and circuit records for billing accuracy.

Leads hands-on big data processing, data engineering, and analytics workflows using Azure Databricks, Python, and SQL. Develops insights and reporting with Power BI, Tableau, and Excel. Analyzes complex datasets, communicates findings to business stakeholders, manages competing priorities, meets deadlines, and promotes continuous improvement.

Leads development of cloud-native, AI-powered applications using Python, React.js, OpenAI APIs, Azure OpenAI Service, and Azure AI services. Designs backend services, REST APIs, responsive front ends, third-party integrations, and generative AI capabilities including prompt engineering, embeddings, vector search, and RAG. Responsible for testing, deployment, monitoring, optimization, and collaboration across application development initiatives.

Lead the architecture and delivery of enterprise generative AI solutions across document processing, language, vision, and agentic systems. Design Azure-based pipelines, RAG workflows, multi-agent solutions, integrations, and human-in-the-loop processes. Partner with stakeholders, lead engineering teams, and establish MLOps, governance, security, cost optimization, and responsible AI practices.