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Internship Rust Backend Developer Jobs in Illinois

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Internship Rust Backend Developer information

What are the key skills and qualifications needed to thrive as an Internship Rust Backend Developer, and why are they important?

To thrive as an Internship Rust Backend Developer, you need a solid understanding of programming fundamentals, familiarity with Rust’s syntax, and basic knowledge of backend development concepts. Experience using version control systems like Git, exposure to RESTful APIs, and familiarity with build tools and databases are typically required. Strong problem-solving ability, eagerness to learn, and effective communication skills help interns collaborate and adapt quickly. These skills are essential for contributing to real-world projects, ensuring code quality, and integrating smoothly within development teams.

What are some common challenges faced by Rust Backend Developer interns, and how can they be addressed?

As a Rust Backend Developer intern, you may encounter challenges such as understanding Rust's unique ownership model, memory safety concepts, and adapting to its strict compiler checks. Additionally, integrating with existing backend systems or microservices, which may be written in other languages, can require extra effort. Collaborating effectively with senior developers and participating in code reviews will help you learn best practices and overcome these hurdles. Regularly seeking feedback, utilizing Rust’s extensive documentation, and participating in team stand-ups are excellent ways to accelerate your learning and contribute meaningfully to the team.

What does an Internship Rust Backend Developer do?

An Internship Rust Backend Developer assists in designing, developing, and maintaining server-side applications using the Rust programming language. Their responsibilities often include writing efficient code, debugging backend systems, integrating with databases, and collaborating with senior developers to build scalable and secure services. Interns typically work on real-life projects to gain hands-on experience with Rust, learn industry best practices, and improve their programming skills in a professional environment.

What is the difference between Internship Rust Backend Developer vs Junior Rust Backend Developer?

AspectInternship Rust Backend DeveloperJunior Rust Backend Developer
Required CredentialsLimited or no professional experience, often pursuing relevant educationSome experience or coursework completed, basic understanding of Rust
Work EnvironmentInternship programs, entry-level projects, mentorship-focusedFull or part-time employment, independent project work
Employer & Industry UsageTech startups, software companies, internships in industryTech companies, software development teams, entry-level roles

The main difference between an Internship Rust Backend Developer and a Junior Rust Backend Developer is experience level. Internships are designed for students or beginners gaining initial exposure, often with mentorship, while Junior roles require some prior knowledge and involve more independent work. Both positions are common in tech industries focused on Rust backend development, but internships serve as a stepping stone to full-time roles.

What are the most commonly searched types of Rust Backend Developer jobs in Illinois? The most popular types of Rust Backend Developer jobs in Illinois are:
What cities in Illinois are hiring for Internship Rust Backend Developer jobs? Cities in Illinois with the most Internship Rust Backend Developer job openings:
Principal Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)

Principal Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)

Wolters Kluwer

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Wolters Kluwer rating

8.8

Company rating: 8.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

31st of 183 rated software companies


Job description

Principal Full Stack Engineer, AI Platform & Agents

Build the GenAI platform that powers critical decisions in healthcare, legal, tax, and compliance industries. Your work will directly shape the future of these fields, enabling faster, safer, and more impactful decision-making at a global scale.

-Location: US/Canada, Hybrid or Remote
-Work Hours: Must have 9-11 AM CST overlap

  • Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment, with 2 days per week onsite.
  • Candidates not within commuting distance will be considered for remote employment.

About this role

Our team is building a central GenAI Platform to empower hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents. We also drive the development of the most impactful AI agents, ensuring faster delivery and greater impact across multiple domains. With over 20 agents already launched and many more in progress, our work accelerates innovation and improves outcomes in critical industries.

You'll join a 100-engineer remote-first team within a larger organization that combines the stability of an established company with the agility of a startup. In this high-autonomy, high-impact role, you'll take problems from concept to production, mentor less experienced engineers, and lead by example. You'll design and ship full-stack systems, shape platform capabilities to empower hundreds of product teams, and directly contribute to the development of the most impactful AI agents.

Flagship Agent: UpToDate Expert AI

In Health, we're launchingUpToDate Expert AI-a medical research and clinical reasoning agent that transforms the world's most widely used pointofcare knowledge resource into a realtime medical assistant. Millions of physicians will rely on it to accelerate differential diagnosis, refine treatment decisions, and reduce cognitive load-while maintaining rigorous safety, privacy, and guideline fidelity. Improvements you ship (latency, reliability, hallucination reduction) will translate directly into faster, higher-quality patient care at global scale.

Tech stack

You don't need to know all of these on day one, but you should be ready to learn quickly.

  • TypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, Rust
  • AWS (primary), Azure, GCP; Docker, Terraform, GitHub Actions
  • DocumentDB, DynamoDB, OpenSearch, Azure AI Search
  • Azure OpenAI, AWS Anthropic, Google Gemini
  • GitHub, Confluence, Slack

What you'll do

  • Design and implement fullstack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
  • Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry).
  • Apply secure SDLC and privacybydesign practices (threat modeling, least privilege).
  • Collaborate with product, UX, and domain experts to deliver customerfocused solutions with measurable outcomes.
  • Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value-faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query.
  • Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects.

Team context

  • Org and Sub-teams: Central GenAI Platform within Wolters Kluwer, driving innovation across businesses by creating re-usable platform services and components. Sub-teams are fewer than 10 engineers, focused on platform services or customer-facing agents.
  • Culture and Reporting: We value a "manager of one" mindset, where outcomes matter more than optics. Authority is earned through demonstrated impact, not tenure or title. You'll report directly to the Director of Engineering, AI Platform.
  • Team Size and Impact: Our globally distributed team of ~100 engineers combines the stability of an established company with the agility of a startup. We are moving fast, and there are many areas where you can have a big impact.
  • Work setup: Remote-first in US or EU, with hybrid options near major offices. Collaboration requires 9-11 AM CST overlap. Occasional travel for team onsites/offsites as needed.

Minimum qualifications

  • 8+ years of professional software engineering experience.
  • Strong fullstack development skills and cloud experience (AWS/Azure/GCP).
  • Expert in at least one, and proficient across the others:
    • AI Agent development and evaluation
    • Backend development
    • Frontend development
    • Cloud services (AWS/Azure/GCP)
    • CI/CD and Infrastructure as Code
    • Site Reliability Engineering (SRE)
    • Quality engineering / testing strategy
    • Secure SDLC and privacy by design
  • Proven track record delivering secure, reliable, cloudnative systems to production.
  • Excellent problemsolving, ownership, and crossfunctional communication.

Nice to have

  • Proven ability to deliver software products independently or as part of a small, fast-paced team.
  • Experience of taking AI agents from concept to production, including safety evaluations, iterative testing (e.g., A/B testing), and continuous improvement.
  • Experience with LangChain/LangGraph and MCP; vector/RAG systems; OpenSearch.
  • Worked on traditional ML tasks like training, deployment, and monitoring.
  • Understand how LLMs work, their failure modes, and techniques like fine-tuning and model adaptation.
  • Familiarity with regulatory frameworks such as SOC2, HIPAA, etc.

To apply

Please submit your resume along with a brief cover letter that includes a "Statement of Exceptional Work." In your cover letter, highlight one of your most impactful projects by addressing the following:

  • Your role and the problem space you were working in
  • The technical and product challenges you faced, and how you addressed them
  • The measurable impact of your work (e.g., metrics, outcomes, improvements)

This will help us better understand your approach to solving complex problems and the value you bring to the team.

Please do not include any proprietary or confidential information in your submission

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$157,900.00 - $282,100.00 USD

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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