Senior Full-Stack Python & AI Engineer

Apex Systems; Dearborn (MI); Hybrid; USD 69,000 - 96,000; Full time

Benefits offered by this job

Medical insurance

401K with company match

HSA (Health Savings Account)

Job summary

Everforth Apex is seeking a Senior Full Stack Python Engineer for a hybrid role in SE Michigan. You will design, build, test, deploy, and support products spanning frontend, backend, APIs, and data layers, with emphasis on AI-enabled features and MLOps practices.

The role requires strong React and Python experience, PostgreSQL data modeling, and hands-on work with GCP, APIs, testing, and CI/CD in a collaborative product team environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of professional software engineering experience in product-focused teams.
• Strong full-stack experience with React, Python, REST APIs, and databases.
• Hands-on experience with AI development tools and building AI-enabled features.
• Experience with Google Cloud Platform (GCP), CI/CD, testing, security, and production support.

Responsibilities

• Design, build, test, deploy, and support features across front-end, back-end, APIs, and data layers.
• Develop modern web applications using React and Python.
• Build backend services and APIs and design relational data models (PostgreSQL).
• Develop AI-enabled features with guardrails, observability, and oversight.
• Collaborate with Product Managers, engineers, data scientists, and stakeholders.
• Ensure code quality through automated tests and peer reviews.

Skills

React

Python

GCP

REST APIs

PostgreSQL

AI tools

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

React

Python

Google Cloud Platform (GCP)

REST APIs

PostgreSQL

Job description

Everforth Apex is seeking a Senior Full Stack Python Engineer for a hybrid role in SE Michigan. You will design, build, test, deploy, and support products spanning frontend, backend, APIs, and data layers, with emphasis on AI-enabled features and MLOps practices.

The role requires strong React and Python experience, PostgreSQL data modeling, and hands-on work with GCP, APIs, testing, and CI/CD in a collaborative product team environment.