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Generative Ai Testing Jobs in Deerfield, IL (NOW HIRING)

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

... our generative AI document assistant, as well as document classification, extraction, and LLM ... testing built in * Applying modern engineering practices for production AI systems, including ...

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

... our generative AI document assistant, as well as document classification, extraction, and LLM ... testing built in * Applying modern engineering practices for production AI systems, including ...

Senior AI/ML Solutions Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Establish and follow best practices for model deployment, versioning, testing, and observability.

Senior AI/ML Solutions Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Establish and follow best practices for model deployment, versioning, testing, and observability.

Senior AI/ML Solutions Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Establish and follow best practices for model deployment, versioning, testing, and observability.

... generative AI capabilities, limitations, and firm governance requirements. • Coordinate tasks, timelines, and stakeholders for AI workflow development initiatives. Workflow Development & Testing ...

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... code reviews, testing, and documentation * 5. Technical Leadership & Influence Provide ...

Lead AI Engineer - Observability

Chicago, IL

$105K - $139K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

Lead AI Engineer - Observability

Chicago, IL · On-site

$105K - $139K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

Lead GenAI Engineer

Chicago, IL · On-site

$105K - $139K/yr

Role: Lead Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Chicago, IL ... Familiar with functional and non-functional testing of AI/ML applications and operationalizing it ...

New

Lead AI Platform Engineer

Chicago, IL · On-site

$105K - $139K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

Showing results 41-60

Generative Ai Testing information

See Deerfield, IL salary details

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$77

How much do generative ai testing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for generative ai testing in Deerfield, IL is $54.64, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.60 per hour, depending on experience, location, and employer.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What job categories do people searching Generative Ai Testing jobs in Deerfield, IL look for?

The top searched job categories for Generative Ai Testing jobs in Deerfield, IL are:

What cities near Deerfield, IL are hiring for Generative Ai Testing jobs?

Cities near Deerfield, IL with the most Generative Ai Testing job openings:

Senior AI Engineer

iManage

Chicago, IL • On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Job description

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 & Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance. 

Being a Senior AI Engineer at iManage Means… 

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’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. 

iM Responsible For… 

  • 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 
  • 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 
  • Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in 
  • Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance 
  • Collaborating with product and business stakeholders to translate requirements into viable technical solutions 
  • Conducting code reviews and providing constructive feedback to team members 
  • Contributing to best practices and standards for AI engineering across the team 

iM Qualified Because I Have… 

  • A Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field 
  • 3+ years of experience in ML/AI engineering or software engineering  
  • Hands-on experience building and shipping LLM systems into production 
  • Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face 
  • Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures 
  • Demonstrated experience fine-tuning language models and deploying them to production 
  • Experience with GPU optimization for training and inference workloads 
  • Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency 
  • The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production 

Bonus Points If I Have… 

  • Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang) 
  • Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools 
  • Experience with knowledge graphs and multimodal LLMs 
  • Familiarity with AI/ML observability tools and model lifecycle management best practices 

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!  

iM Getting To…  

  • Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.  
  • Have flexible work hours that allow me to balance my ‘me time’ with my work commitments.  
  • Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.  
  • Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.  
  • Own my career path with our internal development framework. Ask us more about this!  
  • Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.  
  • Join an innovative, industry leading SaaS company that is continuing to grow & scale!  

iManage Is Supporting Me By...  

  • Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.  
  • Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.  
  • Rewarding me with an annual performance-based bonus.  
  • Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.   
  • Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.  
  • Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.   
  • 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.  
  • 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.  
The overall US annual base salary range for this position is $130,000–$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.

About iManage…  

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.    

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.   

So we’re looking for people who love a challenge. People who are happiest when they’re solving problems and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we do things that might appear impossible. How we develop our employees’ strengths and unlock their potential. How we find meaning in everything we do.   

Whoever you are, whatever you do, however you work. Make it mean something at iManage.  

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.   

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.  

Learn more at: www.imanage.com   

Please see our recruitment privacy statement for more information on how we handle your personal data. 

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