Designs, develops, and maintains scalable full-stack applications using Next.js, React, Python, and Go. Builds microservices, REST and GraphQL APIs, event-driven systems, and AI-powered applications with LLMs and intelligent agents. Responsibilities include cloud deployments, CI/CD optimization, testing, code reviews, security, performance, and reliability improvements. Collaborates cross-functionally while applying Clean Architecture, Domain-Driven Design, and secure software development practices.
We are looking for a Senior Full Stack Engineer / AI Engineer with strong experience building scalable applications using modern microservices and event-driven architectures.
In this role, you will design, develop, and maintain robust software solutions, working across frontend and backend technologies while contributing to AI-powered applications, LLM integrations, and intelligent agents.
The ideal candidate is a hands-on engineer with strong technical expertise, a solid understanding of software architecture, and a passion for building secure, scalable, and high-performance products.
Key Responsibilities- Design, develop, and maintain scalable applications using Next.js (React), Python, and Go (Golang).
- Architect and implement decoupled microservices following Clean Architecture and Domain-Driven Design (DDD) principles.
- Design and integrate RESTful APIs, GraphQL services, and asynchronous messaging systems.
- Contribute to the development and integration of AI agents using Large Language Models (LLMs) and conversational AI frameworks.
- Ensure application performance, security, reliability, and scalability.
- Conduct code reviews and implement automated unit and integration testing.
- Collaborate with cross-functional teams on cloud deployments using Azure and AWS.
- Contribute to CI/CD pipeline optimization and software development best practices.
- 3-5 years of experience in full stack software development.
- Strong development experience with Next.js (React), Python, and/or Go (Golang).
- Solid experience designing, developing, and consuming RESTful APIs and GraphQL services.
- Hands-on experience with microservices and event-driven architectures.
- Knowledge of SQL databases such as PostgreSQL or SQL Server, and NoSQL technologies such as MongoDB or Redis.
- Familiarity with asynchronous messaging technologies such as Kafka, RabbitMQ, or Azure Service Bus.
- Experience with containerization and orchestration tools, including Docker and Kubernetes.
- Knowledge of CI/CD pipelines, Git, and preferably Azure DevOps.
- Understanding of API security, OAuth 2.0, JWT, and secure development practices.
- Experience implementing unit and integration tests.
- Experience with AI agent frameworks such as LangGraph or AgentCore, or integrating LLMs such as OpenAI or Anthropic.
- Strong understanding of SOLID principles, object-oriented programming, and design patterns.
- Familiarity with Domain-Driven Design (DDD), Clean Architecture, and Clean Code practices.
- Experience with code quality tools such as SonarQube and code coverage analysis.
- Experience with automated testing frameworks.
- Experience working in Agile environments using Scrum or Kanban.
- Familiarity with cloud services such as Azure Web Apps, Azure API Management, and AWS Lambda.
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What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
