What are the responsibilities and job description for the IT Full Stack Developer - AI Enablement position at IntePros?
Job Locations: Minneapolis, MN
Full-Time
Overview
The Full Stack Developer will help connect the moving parts of our AI initiatives — from managing the cloud environment to building test tools and user-facing prototypes that bring AI solutions to life. This is a hands-on development role focused on building integrations, interfaces, and cloud infrastructure to support experimentation and early-stage digital products. This role will collaborate closely with AI developers, data engineers, and business stakeholders to create production-ready tools that drive business value. This role is a great fit for someone who enjoys building, troubleshooting, and iterating quickly in an agile, growth-oriented environment.
Responsibilities
Essential Job Functions
Cloud Environment Setup
Stand up and manage cloud environments (primarily AWS) for AI testing and development.
Build and manage deployment scripts, infrastructure as code, APIs, and automation to support rapid iteration.
Support model execution, data pipeline integration, and application hosting during MVP development.
Implement CI/CD pipelines to enable consistent deployment and quality assurance across environments.
Full Stack Development
Build and maintain lightweight tools, UIs, or services to make AI models usable for the business.
Integrate AI-generated outputs into web-based tools, internal systems, or broader digital workflows.
Collaborate with AI developers to ensure effective model deployment, packaging, and versioning.
Contribute to the design and implementation of scalable, modular backend services using modern frameworks.
Qualifications
Minimum Requirements, Education & Experience (incl. KSA’s and certifications)
Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
Experience with cloud platforms (preferably AWS); knowledge of compute, storage, permissions, and networking.
Hands-on experience with containerization and orchestration (Docker, Kubernetes).
Experience with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Jenkins).
Proficient in building full stack solutions using modern languages and frameworks (e.g., React, FastAPI, Flask, Node.js).
Experience working with databases such as PostgreSQL, MongoDB, or other relational/NoSQL systems.
Comfortable writing Python and integrating with APIs and scripting environments.
Interest in AI and willingness to work alongside data scientists and ML engineers.
Desirable Criteria & Qualifications
Prior experience in rapid prototyping, MVP development, or startup-style environments.
Familiarity with MLOps concepts and workflows.
Experience working with structured and semi-structured data in technical or business domains.
Self-starter with curiosity about how AI and cloud platforms can transform business processes.
Ability to explain technical concepts to non-technical stakeholders.
Pay Range
USD $118,000.00 - USD $148,000.00 /Yr.
Pay Range Details
This pay range reflects the base hourly rate or annual salary for positions within this job grade, based on our market-based pay structures. Actual compensation will depend on factors such as skills, relevant experience, education, internal equity, business needs, and local market conditions. While the full hiring range is shared for transparency, offers are rarely made at the minimum or maximum of the range.
Company Benefits
All Employees:
Our 401k retirement savings plan with a company match contribution; onsite health clinics, discretionary holiday bonus program (based on years of service), Client University, 24/7 employee assistance program with access to five confidential visits with a licensed counselor at no cost, wellness program with incentives, an employee death benefit, and employee sick and safe leave are available to all Client employees.
Full-Time
Overview
The Full Stack Developer will help connect the moving parts of our AI initiatives — from managing the cloud environment to building test tools and user-facing prototypes that bring AI solutions to life. This is a hands-on development role focused on building integrations, interfaces, and cloud infrastructure to support experimentation and early-stage digital products. This role will collaborate closely with AI developers, data engineers, and business stakeholders to create production-ready tools that drive business value. This role is a great fit for someone who enjoys building, troubleshooting, and iterating quickly in an agile, growth-oriented environment.
Responsibilities
Essential Job Functions
Cloud Environment Setup
Stand up and manage cloud environments (primarily AWS) for AI testing and development.
Build and manage deployment scripts, infrastructure as code, APIs, and automation to support rapid iteration.
Support model execution, data pipeline integration, and application hosting during MVP development.
Implement CI/CD pipelines to enable consistent deployment and quality assurance across environments.
Full Stack Development
Build and maintain lightweight tools, UIs, or services to make AI models usable for the business.
Integrate AI-generated outputs into web-based tools, internal systems, or broader digital workflows.
Collaborate with AI developers to ensure effective model deployment, packaging, and versioning.
Contribute to the design and implementation of scalable, modular backend services using modern frameworks.
Qualifications
Minimum Requirements, Education & Experience (incl. KSA’s and certifications)
Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
Experience with cloud platforms (preferably AWS); knowledge of compute, storage, permissions, and networking.
Hands-on experience with containerization and orchestration (Docker, Kubernetes).
Experience with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Jenkins).
Proficient in building full stack solutions using modern languages and frameworks (e.g., React, FastAPI, Flask, Node.js).
Experience working with databases such as PostgreSQL, MongoDB, or other relational/NoSQL systems.
Comfortable writing Python and integrating with APIs and scripting environments.
Interest in AI and willingness to work alongside data scientists and ML engineers.
Desirable Criteria & Qualifications
Prior experience in rapid prototyping, MVP development, or startup-style environments.
Familiarity with MLOps concepts and workflows.
Experience working with structured and semi-structured data in technical or business domains.
Self-starter with curiosity about how AI and cloud platforms can transform business processes.
Ability to explain technical concepts to non-technical stakeholders.
Pay Range
USD $118,000.00 - USD $148,000.00 /Yr.
Pay Range Details
This pay range reflects the base hourly rate or annual salary for positions within this job grade, based on our market-based pay structures. Actual compensation will depend on factors such as skills, relevant experience, education, internal equity, business needs, and local market conditions. While the full hiring range is shared for transparency, offers are rarely made at the minimum or maximum of the range.
Company Benefits
All Employees:
Our 401k retirement savings plan with a company match contribution; onsite health clinics, discretionary holiday bonus program (based on years of service), Client University, 24/7 employee assistance program with access to five confidential visits with a licensed counselor at no cost, wellness program with incentives, an employee death benefit, and employee sick and safe leave are available to all Client employees.
Salary : $118,000 - $148,000