ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

chief engineer

cqv lead engineer

lead quality engineer

ai engineer

CNA Insurance

<div><p>You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.</p><p></p>
Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.<p></p><p><b>
JOB DESCRIPTION:</b></p><p></p><p><b>
Essential Duties &amp; Responsibilities</b></p><p><i>
Performs a combination of duties in accordance with departmental guidelines:</i></p><div><ul><li><p>
Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.</p></li></ul></div><div><ul><li><p>
Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting</p></li></ul></div><div><ul><li><p>
Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling</p></li></ul></div><div><ul><li><p>
Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)</p></li></ul></div><div><ul><li><p>
Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design</p></li></ul></div><div><ul><li><p>
Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.</p></li></ul></div><div><ul><li><p>
Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers</p></li></ul></div><div><ul><li><p>
Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services</p></li></ul></div><div><ul><li><p>
This role is not focused on experimentation alone &mdash; it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability</p></li></ul></div><div><ul><li><p>
May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.</p></li></ul></div><div><ul><li><p>
May lead or sub-lead the creation of integrated data views based on business or analytics requirements.</p></li></ul></div><div><ul><li><p>
May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.</p></li></ul></div><div><ul><li><p>
Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.</p></li></ul></div><div><ul><li><p>
Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.</p></li></ul></div><div><ul><li><p>
May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.</p></li></ul></div><div><ul><li><p>
Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.</p></li></ul></div><p><br>
</p><p><i>May perform additional duties as assigned.</i></p><p></p><p><b>
Reporting Relationship</b></p><p>
Typically Director or above</p><p></p><p><b>
Skills, Knowledge &amp; Abilities</b></p><div><ul><li><p>
Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.</p></li></ul></div><div><ul><li><p>
Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.</p></li></ul></div><div><ul><li><p>
Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.</p></li></ul></div><div><ul><li><p>
Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.</p></li></ul></div><div><ul><li><p>
Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.</p></li></ul></div><div><ul><li><p>
Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.</p></li></ul></div><div><ul><li><p>
Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.</p></li></ul></div><div><ul><li><p>
Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.
</p></li></ul></div><p></p><div><p><b>Education &amp; Experience</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree with Master&rsquo;s preferred in Computer Science, Information Technology, related discipline or equivalent work experience.</p></li></ul></div><div><ul><li><p>
Typically 5+ years of experience in data, analytics or application development.</p></li></ul></div><div><ul><li><p>
2+ years of coding proficiency in at least one programming language (Python, Java, SQL).</p></li></ul></div><div><ul><li><p>
Experience using Agile methods preferred.</p></li></ul></div><div><ul><li><p>
Applicable certifications preferred (GCP, Data Engineering).</p></li></ul><p></p><p>
#LI-KJ1 #LI-HYBRID</p></div><p></p><p><i>
I</i><i>n certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In </i><i>District of Columbia</i><i>,</i><i> </i><i>California, Colorado, Connecticut, </i><i>Illinois</i>, <i>Maryland</i><i>, </i><i>Massachusetts</i>,<i> New York and Washington,</i> <i>the national base pay range for this job level is</i><i> $72,000 to $141,000 </i><i>annually. Salary</i><i> determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees &ndash; and their family members &ndash; achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA&rsquo;s benefits, please visit </i><i>cnabenefits.com</i><i>.</i></p><p><br>
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.</p><p><br>
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com</p></div>

Senior Data AI Engineer

iManage

<div><p><i>We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays &amp; Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.</i></p><p><b>
Being a Senior AI Software Engineer at iManage Means&hellip;</b></p><p>
You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that power iManage&rsquo;s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.</p><p><b>
iM Responsible For&hellip;</b></p><ul><li>
Owning the end-to-end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases</li><li>
Deploying and optimizing ML/AI systems on GPUs and Kubernetes-based cloud infrastructure, including AKS or equivalent platforms, while balancing trade-offs across scalability, latency, performance, operational complexity, and cost efficiency</li><li>
Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in</li><li>
Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance</li><li>
Collaborating with product and business stakeholders to translate requirements into viable technical solutions</li><li>
Conducting code reviews and providing constructive feedback to team members</li><li>
Contributing to best practices and standards for AI engineering across the team</li></ul><p><b>
iM Qualified Because I Have&hellip;</b></p><ul><li>
A Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field</li><li>
3+ years of experience in ML/AI engineering or software engineering</li><li>
Hands-on experience building and shipping LLM systems into production</li><li>
Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face</li><li>
Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures</li><li>
Demonstrated experience fine-tuning language models and deploying them to production</li><li>
Experience with GPU optimization for training and inference workloads</li><li>
Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency</li><li>
The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production</li></ul><p><b>
Bonus Points If I Have&hellip;</b></p><ul><li>
Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang)</li><li>
Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools</li><li>
Experience with knowledge graphs and multimodal LLMs</li><li>
Familiarity with AI/ML observability tools and model lifecycle management best practices</li></ul><p><i>
Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways!</i></p><p><b>
iM Getting To&hellip;</b></p><ul><li>
Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.</li><li>
Have flexible work hours that allow me to balance my &lsquo;me time&rsquo; with my work commitments.</li><li>
Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.</li><li>
Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.</li><li>
Own my career path with our internal development framework. Ask us more about this!</li><li>
Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.</li><li>
Join an innovative, industry leading SaaS company that is continuing to grow &amp; scale!</li></ul><p><b>
iManage Is Supporting Me By...</b></p><ul><li>
Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.</li><li>
Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.</li><li>
Rewarding me with an annual performance-based bonus.</li><li>
Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.</li><li>
Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.</li><li>
Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.</li><li>
Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.</li><li>
Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.</li></ul><i>
The overall US annual base salary range for this position is $130,000&ndash;$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.</i><p><b>
About iManage&hellip;</b></p><p>
iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications.</p><p>
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.</p><p>
So we&rsquo;re looking for people who love a challenge. People who are happiest when they&rsquo;re solving problems and collaborating with the industry&rsquo;s best and brightest. That&rsquo;s the iManage way. It&rsquo;s how we do things that might appear impossible. How we develop our employees&rsquo; strengths and unlock their potential. How we find meaning in everything we do.</p><p><b><i>
Whoever you are, whatever you do, however you work. Make it mean something at iManage.</i></b></p><p>
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p><p>
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</p><p>
Learn more at: www.imanage.com</p><p>
Please see our privacy statement for more information on how we handle your personal data:</p><p>
https://imanage.com/privacy-policy/</p><p>
#LI-Hybrid</p><p>
#LI-RW1</p><p>
</p><p>s8WcECcH4I</p></div>

Senior AI Software Engineer

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 <br/>
 <br/>
 Lenovo is a US$83 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).
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About Our Team
  <br/>
  <br/>
 </strong>
 Lenovo is building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the engineering organization that powers Qira, Lenovo&rsquo;s cross‑device Personal AI.
 <br/>
 <br/>
 We are hiring a
 <strong>
  Machine Learning Engineer
 </strong>
 to own the full agentic stack &mdash; from LLM orchestration, tool use, memory, and production deployment on devices.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Chicago, IL is highly preferred (Hybrid, 3 days onsite, 2 days remote)
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory.
  </li>
  <li>
   Build evaluation frameworks to measure agent reliability and safety across different tasks.
  </li>
  <li>
   Build and maintain RAG systems, vector stores, and external tool integrations.
  </li>
  <li>
   Deploy and scale agent systems in production; translate relevant research into working systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization) on devices.
  </li>
  <li>
   Experience in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
  </li>
  <li>
   Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
  </li>
  <li>
   Experience with RAG architecture, embedding models, and LLM evaluation methodology
  </li>
  <li>
   Experience with software engineering fundamentals (python and at least one other programming language).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Rust experience for performance-critical inference or runtime components
   <br/>
   <br/>
  </li>
 </ul>
 The base salary budgeted range for this position is $145K - $155K. Individuals may also be considered for bonus and/or commission.
 <br/>
 <br/>
 Lenovo&rsquo;s various benefits can be found on www.lenovobenefits.com.
 <br/>
 <br/>
 <em>
  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.
 </em>
</div>


Machine Learning Engineer

Convey

<p></p><div><div><p><b>Why p44LSP.ai?</b></p>
<p>
At project44, we believe in better &mdash; and p44LSP.ai is what better looks like for the logistics service provider market.</p>
<p>
For years, project44 focused on global shippers as our core customer. That focus worked. Our Shipper business is a category leader growing 20% year-over-year. That strength is what makes the next chapter possible.</p>
<p>
Shippers and LSPs are fundamentally different businesses. Shippers buy logistics software to support their core operations. Logistics Service Providers &mdash; freight forwarders, brokers, and 3PLs &mdash; sell logistics as their product. Their software is their competitive edge. They buy fast, build on APIs and agents, and reward teams that ship in weeks, not quarters.</p>
<p>
This is why we created p44LSP.ai: a dedicated, AI-native division built to serve the LSP market with the focus, speed, and resources it deserves. It's the scope and ownership of an AI startup, backed by the infrastructure of a $124M business &mdash; 259K carriers, billions of shipment outcomes, agents in production, and direct access to project44's data graph, carrier network, and enterprise relationships.</p>
<p>
This is a small, hand-picked team operating across Chicago, San Francisco, Bangalore, and the EU. Flat org. Forward-deployed engineering. AI coding tools across the workflow. Agents as the product surface. Customers who pilot in weeks and tell you what they think directly.</p>
<p>
The LSP market is moving fast. AI agent startups are growing 300%+ year-over-year, and seven of eight sell to LSPs. We have the data position, the platform, the customers, and now the team. We're hiring the engineers who will build it with us.</p>
<p><b>
AI at project44</b></p>
<p>
We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers</p>
<p>
If you&rsquo;re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team &ndash; we should talk.</p>
<p><b>
The Role</b></p>
<p>
Most engineers build for customers. FDEs build with them. You'll be embedded directly with high-value LSP accounts &mdash; owning integration architecture, customizing agent workflows, and serving as the ground truth between how LSPs actually operate and how our product team thinks they do. Your job is to transform logistics from a reactive service into a programmable network &mdash; replacing manual workflows with autonomous agent-to-agent coordination. What you learn in the field shapes the roadmap. You ship in weeks, not quarters.</p>
<p><b>
What You'll Work On</b></p>
<ul>
<li>Own end-to-end integration for dedicated LSP accounts &mdash; configure bi-directional webhooks and event-driven pipelines so AI agents can read, act, and write data into customer TMS, WMS, and ERP systems instantly</li>
<li>Unify disparate customer data into a single actionable signal &mdash; driving dynamic interoperability across core business systems</li>
<li>Customize interfaces and agent logic to fit existing LSP workflows across freight procurement, load tendering, and exception handling &mdash; reducing time-to-value and making adoption feel natural</li>
<li>Feed the right context to agents and debug decisions when they go wrong &mdash; tracing failures back to the specific data point, prompt, or tool use that caused them</li>
<li>Build event-driven pipelines (Kafka/PubSub) that carry agent intent at the scale of millions of logistics events per day</li>
<li>Serve as the ground truth &mdash; we can't build a world-class product in a silo. Your field observations directly inform what gets on the roadmap and when</li>
</ul>
<p><b>What We're Looking For</b></p>
<p><b>
Qualifications</b></p>
<ul>
<li>5+ years in software engineering, solutions engineering, or technical implementation in a customer-facing role</li>
<li>Mastery of API-first design and bi-directional webhook configuration</li>
<li>Experience with event-driven architecture and stream processing (Kafka, PubSub, or similar)</li>
<li>Hands-on integration experience with TMS, WMS, or ERP systems</li>
<li>Strong debugging skills across distributed, agent-driven workflows</li>
<li>Deep domain knowledge in logistics &mdash; freight procurement, load tendering, carrier management, and exception handling. LSP customers don't trust engineers who don't understand their world. You need to speak their language to earn the right to change how they work.</li>
</ul>
<p><b>Nice to Have</b></p>
<ul>
<li>Experience with agentic AI systems &mdash; context feeding, prompt engineering, tool invocation, stateful agents</li>
<li>Prior experience in a forward-deployed or field engineering role</li>
<li>Containerization and orchestration (Docker, Kubernetes)</li>
</ul>
<p><b>How You Work</b></p>
<ul>
<li>You take ownership of outcomes, not just deliverables</li>
<li>You bring back what you see in the field and use it to make the product better</li>
<li>You move fast, iterate in the open, and don't wait for perfect conditions</li>
<li>You can translate technical complexity to both engineers and LSP operators without losing either audience</li>
</ul>
<p><b>Work Authorization:</b> Candidates must be authorised to work in the US without current or future employer-sponsored visa support.</p>
<p><b>
In-office Commitment:</b><b> </b>Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters <b>3 days a week</b>. Together, we&rsquo;re building something extraordinary&mdash;learn, grow, and thrive in our fast-paced, transformative environment.</p>
<p><b>
Diversity &amp; Inclusion</b></p>
<p>
At project44, we're designing the future of how the world moves. As we work to deliver a truly world-class product, we're intentionally building teams that reflect the unique communities we serve. We're focused on creating a company where all team members can bring their authentic selves to work every day.</p>
<p>
project44 is an equal opportunity employer. If you share our values and passion for the future of logistics, we'd love to review your application. Even if you don't meet 100% of the requirements, please consider applying &mdash; studies show you can still be a strong candidate at 50%.</p>
<p>
For any accommodation needed during the hiring process, please email recruiting@project44.com.</p></div></div><p></p>

Senior Forward Deployed Engineer

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 <br/>
 <br/>
 Lenovo is a US$83 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).
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About Our Team
  <br/>
  <br/>
 </strong>
 Seeking a
 <strong>
  Software Engineer
 </strong>
 to join our team to help build leading edge software solutions that enable rich AI experiences for multiple downstream applications and devices. You will work closely with various teams to design and own features end-to-end, from backend to frontend. Your designs must be highly scalable and optimized for high-performance use cases.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Onsite in Chicago, IL; Hybrid (3 days onsite, 2 days remote)
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Contribute to major initiatives, delivering reliable, high-impact solutions.
  </li>
  <li>
   Design and integrate scalable technical solutions that support multiple business functions in large production environment hosted in Azure.
  </li>
  <li>
   Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
  </li>
  <li>
   Collaborate and contribute on cloud infrastructure and DevOps pipelines within Azure along with ensuring security scanning, and deployment workflows are completed.
  </li>
  <li>
   Partner with product, data, and platform stakeholders to integrate enterprise systems.
  </li>
  <li>
   Help shape future architecture and technical direction of the platform.
  </li>
  <li>
   Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences for millions of users.
  </li>
  <li>
   Utilize programming languages like Java, Node, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker, and a variety of Azure tools and services.
  </li>
  <li>
   Translate business requirements and functional specifications into effective technical designs while assessing impacts to existing systems, processes, and architecture.
  </li>
  <li>
   Develop and maintain enterprise applications using disciplined, modern development practices.
  </li>
  <li>
   Review test strategies and oversee testing to ensure solutions meet business needs with minimal risk.
  </li>
  <li>
   Support successful releases by deploying new modules, upgrades, and fixes to production environments.
  </li>
  <li>
   Troubleshoot and resolve system issues, improving stability and performance.
  </li>
  <li>
   Review updates to application portfolio inventory for accuracy and completeness.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree Computer Science or technical discipline
  </li>
  <li>
   3+ years of professional software engineering experience
  </li>
  <li>
   3+ years of experience in Node.js
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Python and Go
  </li>
  <li>
   2+ years of experience with Azure preferred, or another cloud service
  </li>
  <li>
   2+ years of experience in open-source frameworks
  </li>
  <li>
   2+ years of experience in Agile practices
   <br/>
   <br/>
  </li>
 </ul>
 The base salary range budgeted for this position is $100,000 - $125,000. Individuals may also be considered for bonus and/or commission.
 <br/>
 <br/>
 Lenovo&rsquo;s various benefits can be found at www.lenovobenefits.com.
 <br/>
 <br/>
 <em>
  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.
 </em>
</div>


Software Engineer (Node.js, Python, Go, Azure)

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>This is an onsite role to be based in Chicago, IL.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>About the job you're considering</b></h2>
</div><div><p>We are seeking a Senior Quality Engineer, with a proven track record of delivering complex, high-quality initiatives across Automation of test activities, QSR, Retail, and Digital domains. Brings deep Agile/Scrum expertise, strong leadership, and the ability to manage multiple concurrent programs in fast-paced environments. Adept at defining test strategies, driving quality through automation, and collaborating with cross-functional teams to achieve business outcomes.</p><br>
</div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Your role</b></h2>
</div><div><ul><li>Worked across QSR, Retail, and Digital sectors, effectively managing integrated programs in dynamic, fast-paced settings.</li>
<li>Employed tools like JIRA and Confluence to monitor progress, maintain transparency, and enhance execution efficiency.</li>
<li>Successfully delivered complex, high-quality initiatives by leading end-to-end project and test management with a focus on timeliness and outcomes.</li>
<li>Leveraged Agile/Scrum practices to enable structured, iterative delivery and foster continuous improvement.</li>
<li>Exhibited strong leadership by driving urgency, strategic direction, and proactive issue resolution.</li>
<li>Oversaw multiple parallel initiatives, effectively prioritizing workloads and aligning team efforts with business goals.</li>
<li>Designed and implemented robust test strategies, incorporating automation and industry best practices to ensure quality.</li>
</ul></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Your skills and experience</b></h2><br>
</div><p></p><div><ul><li>3 years experience as Quality Assurance and Test Engineer.</li>
<li>Expertise in defining test strategies, delivery models, and implementing automation to enhance productivity and efficiency.</li>
<li>Proficient in collaboration with COEs, Product Owners, and cross-functional teams, leveraging tools like JIRA and Confluence for effective execution.</li>
<li>Extensive experience in project and test management, consistently delivering complex, high-quality initiatives with strong governance and execution discipline.</li>
<li>Proven expertise across QSR, Retail, and Digital domains, with the ability to thrive in fast-paced, highly integrated environments.</li>
<li>Strong Agile/Scrum knowledge, enabling iterative delivery, continuous feedback, and improved team performance.</li>
<li>Demonstrated leadership with a focus on strategic planning, urgency, and effective problem-solving to drive outcomes.</li>
<li>Skilled in managing multiple concurrent initiatives, prioritizing competing demands while maintaining quality and timelines.</li>
<li>Deep understanding of customer technology landscapes, system integrations, and end-to-end business processes.</li><br>
</ul></div></div></div><p></p><p>The base compensation range for this role in the posted location is $73,150 - $174,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p></p>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

Lead Quality Engineer

YO IT Consulting

<div>
 <strong>
  Job Type:
 </strong>
 Contract, Part-time
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote
 <br/>
 <br/>
 Role Description
 <br/>
 <br/>
 In this hourly, remote contractor role, you will work as a Copywriting &amp; Content Subject Matter Expert (SME) to review AI-generated marketing/content-writing outputs and/or create expert copy and content, evaluating reasoning quality, intent alignment, and step-by-step writing decisions while providing precise written feedback. You will assess solutions for accuracy, clarity, brand fit, tone, and adherence to the prompt; identify issues in logic, messaging, audience targeting, claims/compliance risk, structure, and style; fact-check statements where needed; write high-quality explanations and model outputs that demonstrate strong copywriting technique; and rate and compare multiple responses based on effectiveness, correctness, and reasoning quality. This role is with a fast-growing AI Data Services company delivering training data for many of the world&rsquo;s largest AI companies and foundation-model labs. Your copywriting expertise directly helps improve the world&rsquo;s premier AI models by making their writing more persuasive, accurate, on-brand, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
 <br/>
 <br/>
 <strong>
  Your Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree (or higher) in Communications, Marketing, Journalism, English, or a related field (or equivalent professional experience).
  </li>
  <li>
   5+ years of professional experience in copywriting, content writing, editorial, content marketing, or brand storytelling.
  </li>
  <li>
   Strong command of brand voice, tone adaptation, and audience-aware writing (B2B and/or B2C).
  </li>
  <li>
   Ability to evaluate and improve writing for clarity, structure, persuasion, and consistency, including headlines, CTAs, and narrative flow.
  </li>
  <li>
   Demonstrated ability to spot and correct factual errors, weak reasoning, overclaims, and potential compliance issues (especially in regulated domains).
  </li>
  <li>
   Familiarity with common content formats: landing pages, email campaigns, blog posts, ads, social posts, product copy, scripts, and long-form guides.
  </li>
  <li>
   Comfort providing specific, actionable feedback and writing gold-standard rewrites with rationale; minimum C1 English proficiency.
  </li>
  <li>
   Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
  </li>
  <li>
   Prior experience with AI data training/annotation, content QA, editorial operations, or style-guide governance is strongly preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop AI Training Content: Create detailed prompts and gold-standard copy/content across multiple formats and industries to guide AI learning.
  </li>
  <li>
   Optimize AI Performance: Evaluate and rank AI responses to improve clarity, persuasion, tone match, and factual reliability.
  </li>
  <li>
   Ensure Model Integrity: Test AI outputs for inaccuracies, hallucinated claims, bias, unsafe advice, and brand-risk issues; validate reliability across use cases.
  </li>
 </ul>
</div>


Content Writer - Remote

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