artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

analytics engineer

chief engineer

mechanical engineer

ai engineer

KeyBank

<div><p><b>Location:</b></p>
4910 Tiedeman Road, Brooklyn Ohio<p></p><p><b>
Department:</b> Contact Center Technology<br>
<b>Experience:</b> 4+ years</p><p></p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
KeyBank is seeking a <b>Lead AI Engineer</b> to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences.</p><p>
Unlike a traditional technical lead role, this position is deeply focused on <b>hands-on AI engineering and solution delivery</b>. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives.</p><p>
The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks.</li><li>
Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives.</li><li>
Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements.</li><li>
Own end-to-end delivery of complex AI features, from concept and design through deployment and production support.</li><li>
Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences.</li><li>
Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies.</li><li>
Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios.</li><li>
Provide technical mentorship and code review support while contributing directly to development efforts.</li><li>
Establish engineering best practices for AI solution development, testing, deployment, and observability.</li><li>
Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness.</li><li>
Ensure solutions comply with security and regulatory requirements (PII / PCI).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h3><ul><li>
4+ years of software engineering experience, including 2+ years as a <b>Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role</b>.</li><li>
Strong hands-on experience building and deploying AI-powered applications and services.</li><li>
Strong, hands-on experience with Node.js / TypeScript.</li><li>
Proven experience designing and delivering cloud-native solutions on GCP.</li><li>
Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks.</li><li>
Solid understanding of microservices architecture, APIs, and distributed systems.</li><li>
Hands-on Kubernetes experience, including GKE cluster setup and platform operations.</li><li>
Experience with IVR, voice bots, conversational AI, or contact center technologies.</li><li>
Strong collaboration skills across engineering, product, and operations teams.</li><li>
Excellent technical judgment, communication, and problem-solving skills.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).</li><li>
Experience developing AI agents, orchestration workflows, and multi-agent solutions.</li><li>
Knowledge of voice flows, call routing, containment, and agent escalation.</li><li>
Experience working in regulated or financial services environments.</li><li>
Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.</li><li>
Experience working in Agile delivery models at enterprise scale.</li><li>
Demonstrated experience with Agentic &quot;Vibe Coding&quot; &mdash; rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows.</li></ul><p></p><p><i>
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.</i></p><p></p><p>
COMPENSATION AND BENEFITS</p>
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.<p></p><p>
Please click here for a list of benefits for which this position is eligible.</p><p></p><p>
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.</p><p></p>
Job Posting Expiration Date: 09/11/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.<p></p><p>
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.</p><br>
<p></p>
#LI-Remote</div>

Lead AI Engineer

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader"><b>Principal ML Engineer</b></h3>
</div><div>C2CContract
</div></div><div>Chicago, IL
</div><div>Visa: US CitizenH1BTNGreen CardGC-EADH4-EADEAD
</div><div>Role: Principal ML Engineer Location: Dallas, TX - 5 days onsite from day 1 Secondary locations: Chicago, IL and New York City, NY Job Description: Responsibilities: Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Mail and the broader client's ecosystem. Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences. Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions. Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions. Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge. Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics. A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences. Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction. Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance. A lot about YOU Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies. Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. AI Skills: Advanced AI skills, including experience with AI development tools and frameworks. Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches. Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions. Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across Mail and the broader ecosystem. Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions. Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services. Qualifications Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus. Experience: 8+ years of experience in machine learning, data analysis, or a related field. Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML). Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations. Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement. Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques. Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions. Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams. Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders. Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain. Preferred Qualifications Mail Experience: Prior experience working with email systems or related technologies is a plus. Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively. Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.</div></div><p></p><div><p> </p><p>Refer</p></div></div>

Principal ML Engineer

Uber

<div><b>About the Role</b>
<br>
<br>
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
<br>
<br>
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
<br>
<br>
<b>What You'll Do</b>
<br>
<br>
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
<br>
<br>
<b>Basic Qualifications</b>
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul><b>Preferred Qualifications</b>
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization<br>
<li>
</li></ul><br>
<br>
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year.<br>
<br>
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.<br>
<br>
<b>Ready to Ride?</b><br>
<br>
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.<br>
<br>
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
<br>
<br>
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.<br>
<br>
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

Caterpillar

<div><p><b>Career Area:</b></p>
Technology, Digital and Data<p></p><p><b>
Job Description:</b></p><p></p><p><b>
Your Work Shapes the World at Caterpillar Inc.
</b></p><p></p><p>When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.</p><p></p><p><i>
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers.</i> <i>With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world</i></p><p><br>
As a Data Scientist in the aftermarket analytics team, you will drive parts and services growth by building data-driven solutions that enhance digital products and customer experiences. You will apply analytics and machine learning to solve complex problems, with a focus on personalization and recommendations. You will partner with cross-functional teams, owning components of projects end-to-end while contributing to high-impact solutions that deliver measurable business value.</p><p></p><p><b>
What You Will Do:</b></p><ul><li>
Apply machine learning, statistical modeling, causal inference, and emerging GenAI techniques to understand customer behavior and deliver recommendation and personalization solutions that drive measurable business value</li><li>
Develop and deploy data-driven solutions that optimize digital experiences, including recommendation systems and AI-powered assistants (e.g., conversational insights, targeting, and sales enablement use cases)</li><li>
Partner with product, engineering, and business stakeholders to translate business problems into scalable analytical and AI-driven solutions</li><li>
Own components of analytics and data science projects end-to-end, from exploration and modeling to delivering production-ready insights or features</li><li>
Demonstrate strong initiative to research and apply new techniques, including GenAI approaches, to improve customer impact</li><li>
Communicate findings clearly to technical and non-technical audiences, influencing decisions through data-driven storytelling</li></ul><p></p><p><b>
What you will have:
</b></p><ul><li><b>Analytical Thinking:</b> Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.</li><li><b>
Data Cleaning, Analysis, and Preparation:</b> Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.</li><li><b>
Machine Learning:</b> Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.</li><li><b>
Programming Languages:</b> Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li><b>
Collaboration &amp; Effective Communication:</b> Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.</li></ul><p></p><p><b>
Consideration for top candidates:</b></p><ul><li>
Bachelors, Masters, or PhD degree in statistics, economics, mathematics, data science or similar degree</li><li>
Experience utilizing quantitative analysis, or a Master&rsquo;s degree or PhD in related field</li><li>
Experience in eCommerce and/or digital products domains</li><li>
Experience with advanced data analysis and statistical methods including regression and hypothesis testing</li><li><div>
Practical applications of machine learning techniques, including Collaborative Filtering, Clustering, and emerging GenAI techniques</div></li><li>
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably</li><li>
Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)</li></ul><p></p><p><b>
Additional Details:</b></p><ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li></ul><p></p><p><b>
Summary Pay Range:</b></p><p></p>
$97,530.00 - $158,480.00<p></p><p>
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
</p><p></p><p><b>Benefits:</b></p><p>
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.</p><ul><li><p>
Medical, dental, and vision benefits*</p></li><li><p>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</p></li><li><p>
401(k) savings plans*</p></li><li><p>
Health Savings Account (HSA)*</p></li><li><p>
Flexible Spending Accounts (FSAs)*</p></li><li><p>
Health Lifestyle Programs*</p></li><li><p>
Employee Assistance Program*</p></li><li><p>
Voluntary Benefits and Employee Discounts*</p></li><li><p>
Career Development*</p></li><li><p>
Incentive bonus*</p></li><li><p>
Disability benefits</p></li><li><p>
Life Insurance</p></li><li><p>
Parental leave</p></li><li><p>
Adoption benefits</p></li><li><p>
Tuition Reimbursement</p></li></ul><p>
</p><ul><li>These benefits also apply to part-time employees</li></ul><p></p>
Visa Sponsorship is not available for this position.<p></p><p><b>
Posting Dates:</b></p><p></p><p>
Any offer of employment is conditioned upon the successful completion of a drug screen.</p><p></p><p>
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.</p><p></p><p>
Not ready to apply? Join our Talent Community.</p></div>

Data Scientist, eCommerce Analytics

Loop

<div>
 <strong>
  About Loop
  <br/>
  <br/>
 </strong>
 Loop is industrializing services through AI, starting with one of the world's most complex industries: the global supply chain. We're an AI-native company built to solve the systemic data problem that's held logistics back for decades. Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence at scale. Today, Loop serves &gt;20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year.
 <br/>
 <br/>
 We recently closed a $95M Series C and are backed by leading investors including Valor Equity Partners, Founders Fund, 8VC, Index Ventures, J.P. Morgan, and more than 50 industry-leading angel investors.
 <br/>
 <br/>
 Our team brings deep expertise from Uber, Google, Microsoft, Meta, Amazon, Flexport, C3 AI, VMware, Box, UPS, and C.H. Robinson and we're looking for builders who want to help shape what comes next.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data organization. You&rsquo;ll work cross-functionally across Engineering, Product, Design, Strategy &amp; Operations, and AI Platform teams to design, build, and own the core infrastructure and data models. These systems will enable both internal and client facing analytics, accelerating data-driven decision-making throughout the company and our clients.
 <br/>
 <br/>
 This is an in-person role based in our Chicago office with the expectation of being onsite 4+ days per week.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own Core Data Models and ETL Pipelines: Design, build, and maintain Loop&rsquo;s core data models and ETL processes.
  </li>
  <li>
   Define Metrics and Governance: Establish and govern key business metrics for consistency across teams.
  </li>
  <li>
   Maintain Data Quality and Uptime: Ensure data accuracy and reliability with strong SLAs.
  </li>
  <li>
   Automate Data Requests: Convert ad-hoc data requests into scalable, repeatable pipelines.
  </li>
  <li>
   Optimize Data Infrastructure: Manage and optimize data infrastructure for performance, cost, and compliance.
  </li>
  <li>
   Develop Data Products: Create data-driven solutions and embedded analytics to support business and product teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years experience building analytical products (system, dashboard, models).
  </li>
  <li>
   Strong proficiency in SQL and Python for data transformations and automation.
  </li>
  <li>
   Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Dagster, Airflow, Looker).
  </li>
  <li>
   Excellent business communication skills to translate data insights into actionable business strategies.
  </li>
  <li>
   Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode).
  </li>
  <li>
   Ability to manage, optimize, and scale data infrastructure.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Nice to Have
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Global supply chain experience in transportation and logistics.
  </li>
  <li>
   Previous experience setting up a data stack in a startup from scratch.
  </li>
  <li>
   Interest or experience in working with cutting-edge open-source data tool.
  </li>
  <li>
   Proven ability to convert ad-hoc data requests into scalable, automated pipelines.
  </li>
  <li>
   Experience working in the logistics domain.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 The base pay range for this role is $140,000 to $160,000 annually. This range reflects the base pay that Loop reasonably expects to pay for the position at the time of hire. Actual compensation will depend on job-related factors, including experience, skills, qualifications, location, and business needs.
 <br/>
 <br/>
 In addition to base salary, this role may be eligible for equity. This role is also eligible for Loop's benefits, including health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave.
 <br/>
 <br/>
 <strong>
  <strong>
   Equal Opportunity
   <br/>
   <br/>
  </strong>
 </strong>
 Loop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
 <br/>
 <br/>
 Why you should join Loop?
</div>


Analytics Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</div><div></div><div>As a Software Engineer III at JPMorganChase within the Commercial &amp; Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</div><div>
</div><div><b>Job responsibilities</b></div><div>
</div><ul><li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><div>
</div><div></div><div><b>Required qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Must be a US Citizen</li><li>
Experience with popular frameworks like core Java &amp; Spring framework, OpenAPI specifications for building robust enterprise-level applications.</li><li>
Advanced experience with Java, J2EE and SQL server</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.</li><li>
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.</li><li>
Experience across the whole Software Development Life Cycle</li><li>
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul><div>
</div><div></div><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Familiarity with modern front-end technologies like React/Angular</li><li>
Experience in Web based development experience with modern JavaScript libraries like Angular.js.</li><li>
Exposure to cloud technologies like AWS</li></ul>
<b>ABOUT US</b><br>
<br>
<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'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' and employees' 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>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

FullStack Java Software Engineer III - React / AWS

FeverUp

<div><div><p>Hey there!
<br>
We're Fever, the world's leading tech platform for culture and live entertainment.</p>
<p>
Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we're revolutionizing the way people engage with live entertainment.
<br>
<br>
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.</p>
<p>
Our results? We've teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?</p>
<p>
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!<br>
<br>
Ready to be part of the experience?</p>
<p>
Now, let's discuss this role and what you will do to help achieve Fever's mission.</p></div><p><b>
Meet The Team</b></p>
<p>
At Fever's SEO team, we capture and influence demand when millions search for what to do next. We engineer visibility across the entire discovery ecosystem: traditional search engines, LLMs, local listings, third party integrations and beyond. Our diverse portfolio of ecosystems and operating companies gives us the scale and complexity to master every SEO specialization&mdash;from technical infrastructure and content architecture, to AI search optimization, local market dominance, and brand authority building. We operate globally, automating and optimizing processes to drive efficiency at scale.<br>
<br>
We combine data, technical excellence, and strategic thinking to drive organic growth revenue. Working closely with Product, Engineering, Data and Operational teams, we shape how users discover experiences across our global platforms.<br>
<br>
Join us to redefine how the world finds experiences, together.</p>
<p><b>
The Role</b></p>
<p>
At Fever, we're building something exceptional&mdash;combining strategy, creativity, and the power of advanced technology to redefine what's possible in organic search. By partnering with world-class Product, Engineering, Data and Marketing teams, we leverage cutting-edge tools and data-driven insights to deliver exceptional performance and measurable impact across major search engines and dynamic digital ecosystems.</p>
<p>
As SEO Senior Strategist, you will own SEO strategy across key initiatives and projects within Fever's ecosystems, turning organic search into a measurable growth lever with a bias for fast testing and scalable execution. You'll act as a strategic reference for the wider SEO team.</p>
<p><b>
What You&acute;ll Do</b></p>
<ul>
<li>Design SEO strategies that build competitive advantage, prioritizing initiatives by their business impact on traffic, conversions, and revenue.</li>
<li>Identify high-value growth opportunities and build business cases by estimating impact, projected ROI, and resource requirements upfront.</li>
<li>Utilize a quick-testing, experiment-driven mindset to validate hypotheses and iterate rapidly, ensuring SEO solutions are scalable across all ecosystems.</li>
<li>Provide the technical foundation: guide information architecture, infrastructure and technical SEO decisions (crawling, indexing, CWV, structured data,etc).</li>
<li>Foster an &quot;AI-first&quot; mindset, utilizing automation and AI technologies to eliminate manual workflows at scale.</li>
<li>Lead high-impact SEO projects end-to-end, coordinating autonomously across Product, Engineering, Content and Marketing. Manage resources, timelines and trade-offs across multiple simultaneous initiatives.</li>
<li>Define KPIs, build dashboards, and run analyses (attribution, forecasting) to monitor, prioritize initiatives and quantify SEO's business impact.</li>
<li>Present results to stakeholders using effective storytelling, negotiate priorities, represent SEO in forums, define KPIs, and mentor specialists.</li>
</ul>
<p><b>Who You Are</b></p>
<ul>
<li>Proven experience as an SEO Strategist, at least 7 years working with high traffic websites (&gt;5M monthly visits)</li>
<li>Experience working with international sites, adapting the global SEO strategy according to the needs of local markets</li>
<li>Proactive or independent profile capable of self-management. Strong personal ownership,High level of initiative and work well in a team environment</li>
<li>Being data-driven and kind of a data-geek: clear understanding of data, analytics and metrics with the ability to make data-driven recommendations of actions</li>
<li>Hands-on experience applying AI/LLMs to build SEO solutions, automate workflows and enhance productivity.</li>
<li>Thorough knowledge of search engine ranking factors, including emerging LLM-powered search ecosystems (RAG, citations, query fan-out) and their optimization strategies</li>
<li>Knowledge of HTML, JS and CSS required</li>
<li>Critical thinker and problem-solving skills</li>
<li>Expert with industry-standard &amp; enterprise SEO software</li>
<li>Possess up-to-date knowledge and maintains current SEO practices</li>
<li>Excellent Spanish &amp; English written and oral communication skills</li>
</ul>
<p>Valuable Requirements:</p>
<ul>
<li>Understanding of Google Apps Script and Python.</li>
<li>Knowledge of SQL for data exploitation</li>
<li>Experience on workflows automation</li>
<li>Experience managing teams</li>
</ul>
<p><b>Why You&acute;ll Love It Here</b></p>
<ul>
<li>Attractive compensation package with room to grow.</li>
<li>40% discount on all Fever events and experiences + free Candlelight voucher.</li>
<li>Flexible remuneration with Cobee: meals, transport, training, and nursery support (tax-exempt).</li>
<li>Payflow: option to access part of your salary in advance.</li>
<li>Taxdown: help optimizing and filing your taxes. You can also pay for an upgrade to manage your Beckham Law application, along with other tax-related procedures.</li>
<li>Private health &amp; dental insurance with Cigna: 100% covered by Fever. You can also add your family members via flexible remuneration.</li>
<li>Wellhub membership for gym and wellness access: 100% covered by Fever up to the Silver plan.</li>
<li>Language learning support: English and Spanish lessons.</li>
<li>Hybrid work setup: home office friendly with a central Madrid office location.</li>
<li>Snacks, drinks, and fresh fruit are always available at the office.</li>
<li>Dynamic international team: a young, talented group creating a great work environment.</li>
</ul>
<p>#LI-Hybrid</p><div><p>
Thank you for considering joining Fever. We cannot wait to learn more about you!</p>
<p>
If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch</p>
<p>
Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!</p>
<p>
If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.</p>
<p>
If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice</p></div></div>

Senior SEO Strategist - Madrid based

Explore 39+ Ai engineer in Chicago this August. Find roles across top companies and apply now to boost your career.