Top Tech Jobs & Startup Jobs in Chicago, IL

The Senior Search Engineer will focus on improving the search system for Vannevar's product, collaborating with engineers to leverage full-text search and emerging technologies, and enhancing user experience by improving search latency and relevance.

The role involves leading data collection efforts, transforming mission needs into a data strategy, collaborating with engineering teams, and ensuring collected data is usable for agents in mission workflows.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.

The Product Manager will lead the Mission Agents team, translating user needs into actionable product direction while collaborating with engineers and stakeholders to deliver impactful solutions.

Lead the definition and evolution of foundational platform capabilities, improving structural coherence across engineering organizations, and resolving cross-organizational problems.

Build and ship production-grade agentic AI developer tools and a coding harness to modernize legacy systems. Design integrations across source control, CI/CD, security scanners, and cloud services. Partner with customers and product teams to iterate on AI-native workflows, ensure cybersecurity compliance, and scale agentic systems for defense missions.

Lead and grow a DevOps team responsible for CI/CD, deployment, observability, IaC, and runtime infrastructure. Drive platform reliability with SLOs, build self-service automation, evolve release engineering and supply-chain security, and partner with Security, Product, and application teams to deliver secure, scalable infrastructure.

The Controller will modernize the finance stack, lead accounting tasks, ensure accuracy in financial reporting, and partner with management on strategic decisions while building scalable finance processes.

Responsible for sourcing and developing business opportunities, managing capture lifecycle, conducting market research, and representing the company at events.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.