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ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

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ai/ml engineer, eb applied ai and analytics Jobs in Chicago

machine learning engineer

Applied Machine Learning Engineer – ML & AI Systems

Hudson Manpower

<div>Job Overview:
We are seeking a highly skilled Senior Generative AI Engineer with a strong background in .NET technologies and AI/ML. The ideal candidate will have hands-on experience building and deploying Generative AI solutions, working with LLMs, and designing scalable applications using modern architectures. 
 
Employment Type: W2 Only 
Work Authorization: US Citizens Only 
Key Responsibilities:<ul><li>
Develop and deploy Generative AI solutions, including PoCs, MVPs, and production-grade applications</li><li>
Design and implement RAG (Retrieval-Augmented Generation) based solutions</li><li>
Build and manage agentic AI workflows using modern frameworks</li><li>
Work on real-world application scenario-based problem solving</li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems</li></ul> 
Technical Skills Required:
Core Technologies:<ul><li>
.NET Core</li><li>
Microservices Architecture</li><li>
Web API Development</li><li>
AWS &amp; Azure</li></ul> 
AI / Generative AI Skills:<ul><li>
Strong foundation in AI, Machine Learning, and Deep Learning</li><li>
Hands-on experience with Generative AI (GenAI)</li></ul> 
Programming &amp; Tools:<ul><li>
Proficiency in Python</li><li>
Experience with:<ul><li>
Hugging Face</li><li>
LangChain</li><li>
OpenAI APIs</li></ul></li></ul> 
LLM Expertise:<ul><li>
Experience building, fine-tuning, evaluating, and deploying Large Language Models (LLMs)</li><li>
Exposure to both open-source and commercial LLMs</li></ul> 
Agentic AI &amp; Workflow Orchestration:<ul><li>
Experience with frameworks such as:<ul><li>
LangGraph</li><li>
CrewAI</li><li>
OpenAI Agents</li></ul></li></ul> 
Additional Skills:<ul><li>
Experience working with multi-modal data</li><li>
Familiarity with intelligent agent-based systems</li></ul></div>

Generative AI/ML Engineer (.NET Focus) - USC/GC/GC-EAD || W2 Role

United Airlines

<div>Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. 
 
Come join us to create what&rsquo;s next. Let&rsquo;s define tomorrow, together. 
<h2 class="jobSectionHeader">
Description</h2>
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.<h4 class="jobSectionHeader">
Job overview and responsibilities:</h4>
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions<ul><li>
Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming languages</li><li>
Identifies, researches, or solves large complex problems using big data and machine learning principles</li><li>
Leverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributions</li><li>
Builds and develops machine learning model applications, and provides client support leveraging machine learning knowledge</li><li>
Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups</li><li>
Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available</li><li>
Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)</li><li>
Anticipates working team questions to data and approach</li><li>
Identifies solution quality risks and on-time risks</li><li>
Understands the business value, process, and expectations before focusing on choice of a technical solution</li><li>
Understands the intuition behind the numbers (i.e. does it make sense?)</li><li>
Provides on-going analytical services to client organizations</li><li>
Communicates results to management and clients</li><li>
Contributes deck content and builds the story for the deck with guidance to summarize findings</li><li>
Develops and delivers presentations aligned with Analytics &amp; Innovation team standards</li><li>
Speaks in a manner appropriate for working team and their level +1</li><li>
Keeps informed about the latest analytical methods and research in machine learning, data science, and other analytics fields</li><li>
Research and socialize tools and techniques in data science, ensuring best practices are applied at United</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><div><h4 class="jobSectionHeader">
What&rsquo;s needed to succeed (Minimum Qualifications):</h4><ul><li>
Master&rsquo;s degree in quantitative field (machine learning, data science, statistics, engineering, etc.)</li><li>
Coursework or work experience with mathematical programming techniques</li><li>
Coursework or work experience implementing supervised machine learning to real-world tabular data use cases</li><li>
Hands-on experience with ML and statistical modeling in applied projects</li><li>
Strong Python software engineering skills with a focus on object-oriented programming and GitHub usage</li><li>
Proficiency in SQL for analytical tasks and data manipulation</li><li>
Ability to identify high-value opportunities and efficiently apply data science techniques to drive business impact</li><li>
Strong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervision</li><li>
Demonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguity</li><li>
Excellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiences</li><li>
Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment</li><li>
Good interpersonal skills and ability to interact with clients</li><li>
Proficient with MS Office</li><li>
Must be legally authorized to work in the United States for any employer without sponsorship</li><li>
Successful completion of interview required to meet job qualifications</li><li>
Reliable, punctual attendance is an essential function of the position</li></ul><h4 class="jobSectionHeader"> 
What will help you propel from the pack (Preferred Qualifications):</h4><ul><li>
Supervised computer vision (object detection) &amp; NLP</li><li>
Signal processing &amp; machine learning applied to sensor data</li><li>
Causal ML (DML, DR, etc.)</li><li>
Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modeling</li><li>
AWS cloud stack experience</li><li>
PySpark</li><li>
Docker</li><li>
Generative AI</li><li>
Demonstrated ability to create business value</li></ul></div> 
The base pay range for this role is $94,145.00 to $122,550.00. 
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. 
 
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident &amp; disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges. 
 
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com</div>

Data Scientist - Machine Learning

The Hartford

<div>Data Engineer - GE08AE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
The Hartford is seeking an Applied AI Engineer within EB Applied AI and Analytics to define, build, deploy, and sustain enterprise-scale applied AI solutions with significant business impact. This role carries accountability for complex, multi-domain AI systems in production and serves as a technical authority and strategic problem solver across the applied AI portfolio, while remaining hands-on with critical components.
Team Description
The Employee Benefits Applied AI and Analytics (EB AIA) team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB AIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations. Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, agentic AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.
Responsibilities<ul><li>
Design, build, and maintain AI components and data pipelines that support applied AI use cases</li><li>
Contribute to the development and operation of batch and real-time data/AI pipelines supporting AI model training and inference</li><li>
Implement and maintain production AI assets in alignment with defined architecture, coding standards, and operational practices</li><li>
Collaborate closely with senior Applied AI Engineers, Data Engineers, Architects, Scientists to implement approved solution designs</li><li>
Support deployment, monitoring, and maintenance of AI services and workflows in production environments</li><li>
Apply established CI/CD, testing, and observability practices to ensure solution quality and reliability</li><li>
Assist in identifying, integrating, and validating data sources to ensure data quality and suitability for AI and analytics use cases</li><li>
Participate in code reviews, design discussions, and knowledge sharing to continue developing applied AI and data engineering expertise</li></ul>
Qualifications<ul><li>
3&ndash;6 years of experience in software engineering, data engineering, or applied AI / machine learning engineering</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, IT, MIS, or a related discipline</li><li>
Working experience with Python and SQL</li><li>
Familiarity with data/AI/ML engineering concepts, including batch or streaming pipelines</li><li>
Exposure to deploying applications or data workflows in AWS, Azure, or GCP</li><li>
Ability to work effectively within defined architectural, security, and engineering</li></ul>
This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$100,960 - $151,440
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div>

AI/ML Engineer, EB Applied AI and Analytics

CCC Intelligent Solutions

<div><h1 class="jobSectionHeader">Pay Rate/Hourly Range:
</h1><ul><li>The hourly range is $20.00 - $43.00 per hour.
</li><li>Pay is based on factors including school year, program of study, role responsibilities, etc.
</li></ul>CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we&rsquo;re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We&rsquo;re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . 
 
<h1 class="jobSectionHeader">The Role
</h1>As a member of AI Enablement team in CCC, you will be exploring many different technologies from network and infrastructure to the AI/machine learning algorithms that run on them. CCC owns many applications and services that we at AIE team are doing our best every day to create tools and services to improve the performance, accuracy, and efficiency of our Data Scientists and Machine Learning engineers. Our goal is to understand and utilize the state-of-the-art tools in the field of MLOps and DevOps. If you have an ambition to excel at this field, learn more and contribute more every day, we are eager to have you in our team. 
 
<h1 class="jobSectionHeader">Key Responsibilities:
</h1><ul><li>Be involved in the full lifecycle of microservice development from design through testing and release.
</li></ul><ul><li>Design Dashboards and User Interfaces for our latest tools and models
</li></ul><ul><li>Contribute into the research and introduction of new MLOps/DevOps tools and technologies.
</li></ul><ul><li>Implement automations for deployment and monitoring of CCC applications.
</li></ul><ul><li>Collaborate with ML engineers and Data Scientists to facilitate their model development pipelines.
</li></ul><ul><li>Work with the Database, Middleware, Network and Server teams for applications deployment.
</li></ul><ul><li>Apply data science, machine learning &amp; optimization techniques to real-world problems.
</li></ul><ul><li>Manage individual project priorities, deadlines, and deliverables. 
</li></ul> 
<h1 class="jobSectionHeader">Requirements:
</h1><ul><li>Experience with software development in one or more general purpose scripting and programming languages (included but not limited to Python, Go, Java and JavaScript)
</li></ul><ul><li>Understanding Linux systems and bash scripts
</li></ul><ul><li>Working knowledge of version control systems like Git
</li></ul><ul><li>Understanding the concepts and processes surrounding Software Development Lifecycle.
</li></ul><ul><li>Interest in learning other coding languages per team requirements
</li></ul><ul><li>Experience in Kubernetes, Terraform, Pulumi, Ansible or other configuration management solutions is preferred 
</li></ul> 
<div><div><div><div><div><div><div><h1 class="jobSectionHeader">About CCC's Commitment to Employees:
</h1></div></div></div></div></div></div></div>CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion &amp; Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC&rsquo;s success.
CCC offers competitive compensation and benefits to support you and your families, including:
<ul><li>401K Match
</li><li>Paid time off
</li><li>Annual Incentive Plan Performance Bonus
</li><li>Comprehensive health insurance
</li><li>Adoption Assistance
</li><li>Tuition Reimbursement
</li><li>Wellness Programs
</li><li>Stock Purchase Plan options
</li><li>Employee Resource Groups
</li></ul>For more information about our benefits, please check out our careers site .
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here
If you require reasonable accommodation to complete a job application, please contact (800) 621-8070.</div>

AI Enablement Intern

Robert Half

<div>
 
 
 Position Intel:
 
 This is part of a new team built out to oversee the internal LLM and AI platforms. This person will be part of a four person AI group however they will be working with many other technical teams and no technical stakeholders across the organization. This person will be responsible for building the agentic workflow systems. Someone who is more of a developer background such as Python/Node would be ideal. Also someone who is in a machine learning function but wants to get away from the training and more into business logic side would be a fit as well. This person will be writing code to do orchestration, integrate business logic, and more complex tasks than a typical model training/tuning. Looking for this person to be involved with applied data science, n8n, understanding agentic workflow patterns, MCP tools, integrations, RAG implementation, and Python. An example would be creating the chat bot to query data sources, this can be in low code/no code but must have worked with code. Because this is a new division for the organization someone proven in the AI world will be a valuable asset. There is already a roadmap in place however this person will also be looked at to make suggestions, improvements, and champion future initiatives. If someone would like to be a true lead/manager of others this position allows for individual contributor but also formal lead structure. This is all on a Nvidia backed infrastructure.
 
 
 
 
 
 
 Top Requirements:
 
 
 <ul>
 <li>
 Experience working on/in AI &amp; LLM platforms or services
 </li>
 <li>
 Developer or Machine Learning background
 </li>
 <li>
 Nvidia AI Enterprise Components- ideal not required.
 </li>
 </ul>
 
 
 
 
 &ldquo;Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.&rdquo;
 
 
 
</div>

Artificial Intelligence Engineer

<div>Sr Data Engineer - GE07BE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
The Hartford seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. Our team supports data science and business teams across the enterprise, driving streamlined processes and smarter decision-making in functions like Actuarial, Product, Underwriting, and Sales. As an AI Engineer within the AI Operations organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the enterprise. 
 
We are looking for talent who embraces our core values: 
 
Solution-Oriented: We build solutions, not just models, focusing on end-to-end business problems and systems design. 
Trust and Transparency: We collaborate closely with partners, mindful of their capacity to absorb change. 
Reliability: Our products come with full monitoring solutions to ensure they deliver as expected. 
Influence through Humility: We listen carefully to our customers and become partners in problem-solving. 
Practical and Evolutionary: We deliver minimally viable products first and expand their sophistication over time based on feedback. 
 
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. 
 
Responsibilities: 
 
Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools.
Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.
Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.
Develop and promote best practices in AI, ML, and data engineering across teams.
Architect and design end-to-end solutions at a component level.
Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.
Provide technical mentorship and career growth opportunities for team members.
Review work of systems-level engineers to calibrate deliverables against project and business expectations. 
 
Qualifications:<ul><li> 
Bachelor's degree in Computer Science, Computer Engineering, or a technical field.</li><li>
8+ years building and shipping software and/or platform solutions for enterprises.
</li><li>Programming experience with Python is preferred.</li></ul><ul><li>
3+ years of experience with Terraform.</li><li>
Experience building libraries, frameworks or platforms used across multiple teams is a plus.</li><li>
Proven experience with Google Cloud Platform (GCP).</li><li>
Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.</li><li>
Proven experience in working with other cloud providers such as AWS cloud is a plus.</li><li>
Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.</li><li>
Experience with building scalable serverless applications (real-time/batch) using cloud technologies. GCP is a plus.</li><li>
Knowledge of distributed NoSQL database systems and data engineering, ETL technology.</li><li>
Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.</li></ul><ul><li>
Experience with IR, vector embedding, and Hybrid/Semantic search technologies.</li><li>
Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.</li><li>
Experience with embeddings, ANN/KNN, vector stores, database optimization, &amp; performance tuning is a plus.</li><li>
Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.</li><li>
Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.</li><li>
Foundational understanding of Natural Language Processing and Deep Learning.</li><li>
Excellent problem-solving skills and the ability to work in a collaborative team environment.</li><li>
Excellent communication skills.</li></ul>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div>

AI Platform Engineer (Google Cloud Platform)

Explore 131+ Machine learning engineer in Chicago this April. Find roles across top companies and apply now to boost your career.