Full Stack AI Engineer

Finoit Inc

Chicago, IL, United States

30 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$160,000.0 - $180,000.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications User Authentication Cloud Engineering Continuous Integration Relational Databases DevOps Programming Tools Github Python (Programming Language)

+21 more

PostgreSQL Node.Js OAuth OpenID Cloud Services Software Engineering SQL Databases TypeScript Web Application Frameworks Pulumi GitHub Copilot ReactJS Large Language Models Infrastructure as Code (IaC) Backend Cloudformation Build Management Virtual Agents Restful APIs Terraform Docker

Job description

We are seeking a Senior Full Stack AI Engineer to build and deploy production-grade AI-powered applications. This role involves developing scalable web applications, APIs, and AI-enabled solutions using modern full-stack technologies. You’ll collaborate with cross-functional teams to design, develop, and deliver innovative software while leveraging cloud-native architectures and DevOps best practices., * Design, develop, and deploy full-stack applications and APIs.

Build and ship AI-powered applications into production.
Develop backend services using Python and modern web technologies.
Create responsive front-end applications using React and TypeScript.
Implement Infrastructure as Code (IaC) and CI/CD pipelines.
Collaborate with engineering teams to build secure, scalable cloud solutions.
Participate in architecture, design, testing, and production support.

Requirements

3-6+ years of software engineering experience.
Strong Python development experience (required).
Experience with React, TypeScript, Node.js, and REST APIs.
Hands-on experience deploying AI/LLM-powered applications.
AWS cloud experience.
Infrastructure as Code (CloudFormation, Pulumi, or Terraform).
Docker, GitHub, CI/CD, and DevOps practices.
SQL and PostgreSQL (or similar relational databases).
Experience implementing OAuth2/OIDC authentication., * Experience with Agentic AI workflows or AI application frameworks.
Familiarity with GitHub Copilot, Claude Code, OpenAI Codex, or similar AI developer tools.
Experience in regulated or enterprise environments.