Software Engineering Intern (AI)

TL;DR

Software Engineering Intern (AI): Designing, prototyping, and delivering full-stack applications and production-facing software for ML/GenAI experiments and people-analytics products with an accent on building AI pipelines and backend services. Focus on integrating ML models, ensuring data security, and deploying scalable cloud solutions.

Location: Hybrid in Chicago, United States

Salary: $3,200–$4,000 monthly (hourly rate $20.00–$25.00)

Company

hirify.global is a global consulting firm that powers performance by unlocking potential in people and transforming businesses through strategy, operations, and talent synchronization.

What you will do

• Support the development and improvement of internal applications used by consultants for client engagements.
• Build and maintain AI pipelines that translate strategic priorities into structured insights and business solutions.
• Develop backend services and APIs to orchestrate data flows, AI models, and rule-based logic.
• Design and implement front-end interfaces (React/TypeScript) and responsive UIs for exploring ML/AI outputs.
• Integrate ML/GenAI prototypes into application stacks and package/containerize applications using Docker.
• Contribute to CI/CD pipelines, automated testing, and code quality tooling for production-quality software.

Requirements

• Currently pursuing a Bachelor’s, Master’s or PhD in Computer Science, Software Engineering, Data Science, or a closely related discipline.
• Strong programming skills in JavaScript and Python; experience building web UIs (React or comparable frameworks) and backend services.
• Familiarity with RESTful APIs, JSON, and web application fundamentals.
• Experience with relational or NoSQL databases (Postgres, MySQL, MongoDB, or similar) and writing efficient queries.
• Knowledge of Git/GitHub workflows and collaborative software development.
• Ability to work hybrid in Chicago, United States.

Nice to have

• Experience with TypeScript + React ecosystem (hooks, state management, component libraries) and CSS frameworks.
• Familiarity with Azure (App Services, Functions, AKS).
• Exposure to MLOps concepts, model serving (TorchServe, TensorFlow Serving, or custom inference), and Azure ML or SageMaker.
• Knowledge of security, data privacy best practices, and GDPR/ethical considerations for sensitive data.
• Experience with serverless architectures, microservices, or Kubernetes.

Culture & Benefits

• Work in a small, tight-knit team at the intersection of people science and cutting-edge AI.
• High-visibility projects with direct collaboration with senior product and business leaders.
• Receive mentorship on software engineering and cloud deployment best practices.
• Competitive compensation and benefits, including a 401(k) plan and Employee Stock Purchase Program.
• Total of 15 days vacation annually, plus 16 company holidays and 80 hours sick time.
• Access to the hirify.global Cares Wellbeing Platform for health benefits (Medical, Dental, Vision, Disability).