ai/ml engineer, eb applied ai and analytics

after school comic book instructor (part-time, flexible hours)

assistant professor (tenure track) - real estate (26-27)

ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

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

apprentice engineer

artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

associate ai engineer

ai agent engineer

LaunchPad Lab

<div><p>LaunchPad Lab is a Chicago-based software development consultancy with 14+ years of building custom platforms for organizations that need more than off-the-shelf solutions. We have gone all-in on AI. Our AI practice helps mid-market and enterprise clients design, build, and deploy AI agents that transform how their businesses operate.</p><p>
We are hiring an AI Agent Engineer to be the technical engine behind this work. This is a hands-on, high-autonomy role: you will design, build, and deploy AI agent systems for clients, drive internal agent-powered automation for LaunchPad Lab itself, and help define what great AI agent development looks like across the consultancy.</p><p>
Your time will be split roughly 50/50 between client-facing agent development and internal AI initiatives. You will report to the CTO.</p><p>
We&rsquo;re looking for an agent builder who can sit with a client, identify where autonomous workflows create real leverage, design the agent system, and ship it.</p>
What You Will DoClient Delivery (~50%)<ul><li>
Design and build production AI agent systems for clients across industries, from scoping through deployment and iteration.</li><li>
Lead technical discovery workshops to identify high-value automation opportunities in client workflows.</li><li>
Select and integrate the right agent frameworks, platforms, and models for each engagement (LangChain, LangGraph, CrewAI, Claude Managed Agents, custom orchestration, and others as the landscape evolves).</li><li>
Design human-in-the-loop workflows, approval gates, and escalation paths so agent systems operate safely in client environments, especially in regulated or risk-sensitive industries</li><li>
Translate complex AI capabilities into clear, actionable recommendations for non-technical stakeholders.</li><li>
Collaborate with LaunchPad Lab&rsquo;s engineering and design teams to deliver end-to-end solutions.</li></ul>
Internal Agent Strategy &amp; Operations (~50%)<ul><li>
Own LaunchPad Lab&rsquo;s internal agent automation roadmap. Identify processes ripe for agent-driven improvement and build the solutions.</li><li>
Evaluate new agent frameworks, platforms, and tooling.</li><li>
Develop reusable agent architectures, prompt libraries, and patterns that accelerate delivery across the consultancy.</li><li>
Contribute to the AI practice&rsquo;s positioning, thought leadership, and go-to-market efforts with technical credibility.</li><li>
Mentor other engineers on AI patterns, tools, and best practices as the practice grows.</li></ul><br>
<b>
Requirements</b><br>
<br>
Must Have<ul><li>
2+ years of professional software engineering experience with strong fundamentals.</li><li>
2+ years of hands-on experience building AI agent systems, including autonomous or semi-autonomous agents deployed in production environments.</li><li>
Deep working knowledge of agent orchestration frameworks (LangChain, LangGraph, CrewAI, LlamaIndex, Claude Managed Agents, or equivalent). You should have opinions about their tradeoffs.</li><li>
Experience with agent design patterns including prompt engineering, RAG architectures, tool/function calling, agent memory management, and evaluation frameworks.</li><li>
Experience with MCP (Model Context Protocol), A2A (Agent-to-Agent Protocol), or other emerging agent interoperability standards.</li><li>
Demonstrated ability to lead client-facing technical conversations, translate business problems into technical solutions, and present to senior stakeholders.</li></ul>
Nice to Have<ul><li>
Consulting or agency experience delivering technical projects for external clients.</li><li>
Familiarity with infrastructure for AI workloads: vector databases (Pinecone, Weaviate, pgvector), cloud platforms (AWS, Azure, or GCP), and observability tools (LangSmith, PostHog, or OpenTelemetry).</li><li>
MLOps experience: comfortable with LLM monitoring, agent observability, eval design, and guardrail implementation to keep agent systems reliable and safe in production.</li><li>
Experience building internal tools or automations that improved operational efficiency.</li><li>
Hands-on experience with workflow automation and AI agent platforms such as Workato, Cassidy AI, n8n, Claude, or Claude Managed Agents.</li></ul><br>
<b>
Benefits</b><br>
<br>
Why LaunchPad Lab<ul><li>
Variety and impact. You will work across industries and problem spaces, not a single product backlog.</li><li>
Real ownership. You will shape the AI practice and the internal playbook from the ground up.</li><li>
Senior, lean culture. Small teams of experienced engineers.</li><li>
Fully remote with a collaborative, low-ego team that has been building software together for over a decade.</li></ul>
Compensation<p>
This role is available as a full-time position or a long-term contract engagement. We're open to structuring it around the right person.
</p><p>Salary Range: $125,000-175,000 (for full-time role)</p>
Benefits<ul><li>
Health Insurance (company pays 100% of employee PPO premium)</li><li>
Dental Insurance (company pays 100% of employee premium)</li><li>
Vision Insurance (company pays 100% of premium)</li><li>
401(k) with up to 4% company match</li><li>
$1,000 annual conference budget</li><li>
Flexible work and vacation schedule</li></ul></div>

AI Agent Engineer

Hudson Manpower

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

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

The Hartford

<div>Sr Data Engineer - GE07BE<p>
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.<br>
</p><p></p><p>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.<br>
<br>
We are looking for talent who embraces our core values:<br>
<br>
<b>Solution-Oriented:</b> We build solutions, not just models, focusing on end-to-end business problems and systems design.<br>
<b>Trust and Transparency:</b> We collaborate closely with partners, mindful of their capacity to absorb change.<br>
<b>Reliability:</b> Our products come with full monitoring solutions to ensure they deliver as expected.<br>
<b>Influence through Humility:</b> We listen carefully to our customers and become partners in problem-solving.<br>
<b>Practical and Evolutionary:</b> We deliver minimally viable products first and expand their sophistication over time based on feedback.<br>
<br>
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.<br>
<br>
<b>Responsibilities:</b><br>
<br>
Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools.</p><p>
Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
</p><p>Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.</p><p>
Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.</p><p>
Develop and promote best practices in AI, ML, and data engineering across teams.</p><p>
Architect and design end-to-end solutions at a component level.</p><p>
Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.</p><p>
Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.</p><p>
Provide technical mentorship and career growth opportunities for team members.</p><p>
Review work of systems-level engineers to calibrate deliverables against project and business expectations.</p><p><br>
<br>
<b>Qualifications:</b></p><ul><li><p><br>
Bachelor's degree in Computer Science, Computer Engineering, or a technical field.</p></li><li><p>
8+ years building and shipping software and/or platform solutions for enterprises.
</p></li><li><p>Programming experience with Python is preferred.</p></li></ul><ul><li><p>
3+ years of experience with Terraform.</p></li><li><p>
Experience building libraries, frameworks or platforms used across multiple teams is a plus.</p></li><li><p>
Proven experience with Google Cloud Platform (GCP).</p></li><li><p>
Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.</p></li><li><p>
Proven experience in working with other cloud providers such as AWS cloud is a plus.</p></li><li><p>
Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.</p></li><li><p>
Experience with building scalable serverless applications (real-time/batch) using cloud technologies. GCP is a plus.</p></li><li><p>
Knowledge of distributed NoSQL database systems and data engineering, ETL technology.</p></li><li><p>
Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.</p></li></ul><ul><li><p>
Experience with IR, vector embedding, and Hybrid/Semantic search technologies.</p></li><li><p>
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.</p></li><li><p>
Experience with embeddings, ANN/KNN, vector stores, database optimization, &amp; performance tuning is a plus.</p></li><li><p>
Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.</p></li><li><p>
Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.</p></li><li><p>
Foundational understanding of Natural Language Processing and Deep Learning.</p></li><li><p>
Excellent problem-solving skills and the ability to work in a collaborative team environment.</p></li><li><p>
Excellent communication skills.</p></li></ul><p><b>
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.</b></p><p><b>
Compensation</b></p><p>
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:</p>
$117,200 - $175,800<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

AI Platform Engineer (Google Cloud Platform)

Applied Machine Learning Engineer – ML & AI Systems

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Come on board with an iconic financial institution and take your career to the next level. You have found the perfect place to thrive, develop, and make a real difference.</p><p>
As a Senior Principal Cybersecurity Architect at JPMorganChase within the Cybersecurity and Technology Controls - Consumer &amp; Community Banking (CTC CCB) line of business, you provide deep cybersecurity expertise and work across teams to identify, create, and communicate risk, mitigation options, and solutions. Leverage your deep cross-domain expertise to bring together talent that will consistently create AI-enabled solutions, processes, and reusable proof-of-concept models for cybersecurity while remaining at the forefront of best practices for cybersecurity policy and technological advances.</p><div><p><b>
Job responsibilities</b></p><ul><li>
Advises and leads the cybersecurity strategy and development of multiple AI-enabled products, applications, and technologies across the CCB portfolio</li><li>
Translates highly complex technical issues, trends, and approaches to leadership to drive the firm&rsquo;s innovation and enable leaders to make strategic, well-informed decisions about target state architecture</li><li>
Drives the adoption and implementation of new technical methods in cybersecurity in line with the latest product development methodologies</li><li>
Creates durable, reusable cybersecurity frameworks that improve velocity and quality of output across teams and functions</li><li>
Develops architectures that have applicability across businesses and functions</li><li>
Champions the firm&rsquo;s culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p></div><p></p><div><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
10+ years of cybersecurity architecture experience</li><li>
Extensive experience in security assessment, threat modeling, and secure design for cloud-native applications, including Agent-to-Agent and application interactions</li><li>
Strong expertise in A2A (Agent-to-Agent) security, covering certificate management, API security, and service mesh architectures</li><li>
Proficient in working with cloud platforms such as AWS and container orchestration tools like Kubernetes</li><li>
Proficiency in MCP and its application on how it can be used to secure agentic systems</li><li>
Practical experience delivering cybersecurity architecture that can be applied and reused across businesses, functions, and systems</li><li>
Fluent in one or more programming languages or applications</li><li>
Demonstrated prior experience influencing across functions and teams to deliver modern cybersecurity architecture</li><li>
Experience applying expertise and new methods to determine solutions for new and complex cybersecurity problems across various disciplines</li><li>
Extensive practical cloud-native experience</li><li>
Ability to evaluate current and emerging technologies to recommend the best technology solutions or approach to achieve the future state cybersecurity architecture</li></ul><p>
</p><div><b>#CTC</b>
</div></div><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AI Sr. Principal Cybersecurity Architect

<div>Data Engineer - GE08AE<p>
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.<br>
</p><p></p><p>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.</p><p><b>
Team Description</b></p><p>
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.</p><p><b>
Responsibilities</b></p><ul><li><p>
Design, build, and maintain AI components and data pipelines that support applied AI use cases</p></li><li><p>
Contribute to the development and operation of batch and real-time data/AI pipelines supporting AI model training and inference</p></li><li><p>
Implement and maintain production AI assets in alignment with defined architecture, coding standards, and operational practices</p></li><li><p>
Collaborate closely with senior Applied AI Engineers, Data Engineers, Architects, Scientists to implement approved solution designs</p></li><li><p>
Support deployment, monitoring, and maintenance of AI services and workflows in production environments</p></li><li><p>
Apply established CI/CD, testing, and observability practices to ensure solution quality and reliability</p></li><li><p>
Assist in identifying, integrating, and validating data sources to ensure data quality and suitability for AI and analytics use cases</p></li><li><p>
Participate in code reviews, design discussions, and knowledge sharing to continue developing applied AI and data engineering expertise</p></li></ul><p><b>
Qualifications</b></p><ul><li><p>
3&ndash;6 years of experience in software engineering, data engineering, or applied AI / machine learning engineering</p></li><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, IT, MIS, or a related discipline</p></li><li><p>
Working experience with Python and SQL</p></li><li><p>
Familiarity with data/AI/ML engineering concepts, including batch or streaming pipelines</p></li><li><p>
Exposure to deploying applications or data workflows in AWS, Azure, or GCP</p></li><li><p>
Ability to work effectively within defined architectural, security, and engineering</p></li></ul><p><i>
This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
</i></p><p><i>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.</i></p><p><b>
Compensation</b></p><p>
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:</p>
$100,960 - $151,440<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

AI/ML Engineer, EB Applied AI and Analytics

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00097550
</div></div><div><div>Career area:
</div><div>Artificial Intelligence
</div></div><div><div>Country/Region:
</div><div>United States of America
</div></div><div><div>State:
</div><div>Illinois
</div></div><div><div>City:
</div><div>Chicago
</div></div><div><div>Date:
</div><div>Monday, April 13, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - Illinois - Chicago
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p>Lenovo is seeking a highly motivated intern to contribute to the design, development, and exploration of our next-generation AI systems. As an intern, you will have the opportunity to work on a variety of projects across the AI stack &ndash; from foundational models to intelligent applications &ndash; depending on project needs and your own interests. This is an exciting opportunity to gain hands-on experience with cutting-edge AI systems while collaborating with experienced engineers, researchers, and product teams to help advance Lenovo&rsquo;s Hybrid AI vision and make Smarter Technology for All.</p><div><div><p><b>
Responsibilities:</b></p></div><div><ul><li><p><b>
AI</b><b> </b><b>System</b><b>s Development</b><b>:</b> Assist in the design, implementation, and testing of AI-driven systems and tools.</p></li></ul></div><div><ul><li><p><b>
Agent</b><b> </b><b>and Workflow</b><b> </b><b>Design:</b> Support development of intelligent agents and task automation pipelines, including prompt engineering and context management.</p></li></ul></div><div><ul><li><p><b>
Model Training &amp; Fine-Tuning:</b> Contribute to the training or fine-tuning of models such as Large Language Models (LLMs) and multimodal models (e.g., vision, text, and speech).</p></li></ul></div><div><ul><li><p><b>
On-Device</b><b> </b><b>Performance</b><b> </b><b>Optimization:</b> Help evaluate and optimize model performance on phones, tablets, and PCs, focusing on efficiency, latency, and power usage to get the most out of device hardware.</p></li></ul></div><div><ul><li><p><b>
Knowledge Management:</b> Explore technologies like vector databases, knowledge graphs, and retrieval-augmented generation (RAG) to enhance model performance.</p></li></ul></div><div><ul><li><p><b>
Evaluation</b><b> </b><b>&amp; Analysis</b><b>:</b> Help evaluate AI models for performance, accuracy, robustness, and fairness.</p></li></ul></div><div><ul><li><p><b>
Research &amp;</b><b> </b><b>Prototyping</b><b>:</b> Stay up to date with the latest AI advancements and assist in rapid prototyping of innovative concepts.</p></li></ul></div><div><ul><li><p><b>
Collaboration</b><b> </b><b>&amp;</b><b> </b><b>Documentation:</b> Work closely with mentors and team members to document findings, share insights, and contribute to project deliverables.</p></li></ul></div><div><p><b>
Qualifications:</b></p></div><div><ul><li><p>
Currently pursuing a Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Artificial Intelligence, Electrical &amp; Computer Engineering, Data Science, or a related technical field.</p></li></ul></div><div><ul><li><p>
Strong interest in AI, machine learning, and intelligent systems.</p></li></ul></div><div><ul><li><p>
Proficiency in programming languages such as Python, C++, Java, or Kotlin.</p></li></ul></div><div><ul><li><p>
Familiarity with operating systems such as Linux, Windows, or Android</p></li></ul></div><div><ul><li><p>
Basic understanding of Machine Learning and Deep Learning principles.</p></li></ul></div></div><div><div><ul><li><p>
Exposure to AI frameworks such as PyTorch, Transformers, LangGraph, or Autogen.</p></li></ul></div><div><ul><li><p>
Curiosity, adaptability, and willingness to learn new technologies and methods.</p></li></ul></div><div><ul><li><p>
Good communication and collaboration skills.</p></li></ul></div><div><p><b>
Bonus Points:</b></p></div><div><ul><li><p>
Experience working on personal or academic AI projects (e.g., LLMs, multimodal models, chatbots).</p></li></ul></div><div><ul><li><p>
Previous internship experience in software development or AI fields.</p></li></ul></div><div><ul><li><p>
Contributions to open-source AI projects.</p></li></ul></div><div><ul><li><p>
Publications in leading AI conferences or journals.</p></li></ul></div><div><p>
#LATC</p></div></div>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - Illinois - Chicago
</li></ul></div></div><div><ul><li>United States of America
</li></ul></div><div><ul><li>United States of America - Illinois
</li></ul></div><div><ul><li>United States of America - Illinois - Chicago</li></ul></div></div></div></div></div>

AI Engineering Intern - Summer 2026

Explore 108+ Ai agent engineer in Chicago this April. Find roles across top companies and apply now to boost your career.