Full Stack Engineer

Job Description

Senior Full Stack Engineer – AI-First Development (Backend-Focused)

Location: Chicago, IL (Hybrid)

**No C2C

About the Opportunity

We are partnering with a growing technology company specializing in data-driven market intelligence and analytics. The engineering team is expanding to support new product development, platform integrations, and cloud modernization.

We're seeking a Senior Full Stack Engineer with strong backend engineering expertise and an AI-first approach to software development.

This is a hands-on role focused on backend services, APIs, databases, AWS infrastructure, and modern web applications.

AI is central to how this team develops software. We're looking for an engineer who actively leverages tools such as Claude Code, Cursor, Codex, or similar AI coding agents throughout the software development lifecycle—not simply for autocomplete or occasional code generation.

What You'll Do

AI-First & Agentic Development

• Use AI coding agents extensively for solution design, implementation, refactoring, debugging, testing, and code review.
• Build effective agentic development workflows that accelerate delivery while maintaining engineering quality.
• Explore multi-agent workflows, MCP integrations, and emerging AI development tools.
• Independently validate AI-generated code for correctness, security, performance, and maintainability.
• Apply appropriate security controls when AI agents interact with repositories, credentials, infrastructure, and sensitive data.

Backend & Full Stack Engineering

• Design, develop, and maintain scalable backend services, APIs, and integrations using Python, Node.js, TypeScript, or comparable technologies.
• Build and enhance customer-facing applications using React and modern JavaScript frameworks.
• Develop and optimize PostgreSQL databases, data models, and data-intensive application workflows.
• Integrate existing applications, external services, and newly acquired technology platforms.
• Modernize legacy applications while maintaining performance, reliability, and business continuity.
• Own features end-to-end, from architecture and implementation through deployment and production support.

AWS & Production Engineering

• Build, deploy, and support applications and services running in AWS.
• Contribute to cloud migrations, infrastructure modernization, and legacy-system retirement.
• Work with Linux environments, containers, CI/CD pipelines, and infrastructure automation.
• Troubleshoot production issues involving APIs, databases, networking, authentication, and application performance.
• Collaborate with DevOps and engineering teams on security, monitoring, reliability, and deployment practices.

Required Qualifications

• 5+ years of professional software engineering experience, with substantial hands-on backend development.
• Daily, meaningful use of AI coding agents such as Claude Code, Cursor, Codex, or similar tools to build and deliver software.
• Experience using AI for planning, implementation, debugging, testing, and code review—not just generating snippets.
• Strong understanding of AI-generated code validation, security, and engineering best practices.
• Proficiency in Python, TypeScript, Node.js, or comparable backend technologies.
• Experience building REST APIs, integrations, and database-driven applications.
• Hands-on React experience and an understanding of modern frontend development.
• Production experience with AWS.
• Experience with PostgreSQL or other relational databases.
• Familiarity with Linux, containers, Git, CI/CD, and software deployment.
• Strong architectural judgment, problem-solving ability, and independent execution.
• Ability to work in a hybrid environment in Chicago.

Preferred Qualifications

• Advanced experience with Claude Code, Cursor, Codex, custom agents, or MCP servers.
• Experience with multi-agent orchestration or automated AI development workflows.
• AWS services including EC2, ECS, Lambda, RDS, S3, Redshift, or Kinesis.
• Python-based ETL, data ingestion, and processing pipelines.
• Terraform, Docker, Kubernetes, or other infrastructure automation technologies.
• Experience with IAM, authentication, authorization, secrets management, and secure application design.
• Experience with platform integration, legacy modernization, or cloud migration initiatives.

Compensation & Benefits

• $140,000–$160,000 base salary + bonus
• Medical, dental, and vision insurance
• 401(k) with company matching
• Flexible time off
• Paid parental leave
• Additional company-sponsored benefits

Why Join?

This opportunity offers direct collaboration with senior engineering leadership, meaningful ownership of backend and full-stack development, and the chance to work in an environment that actively embraces AI-driven software engineering.

We're looking for an engineer who doesn't just use AI tools occasionally but has fundamentally integrated them into how they design, build, test, and ship production software.