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Ai Rag Jobs in Illinois (NOW HIRING)

AI Implementation Support: Assist in designing and implementing emerging AI technologies, including RAG architectures, to enhance security team capabilities. * Agent Communication Design: Build and ...

New

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Proposing and implementing innovative solutions to complex problems • Experienced with Generative AI, RAG and GraphRAG patterns • Design models to predict next-best-action, customer behavior, and ...

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design and build AI solutions that accelerate data migration from legacy systems to the cloud ... Strong coding fluency in Python; hands-on experience with BigQuery, Claude Code, RAG architectures ...

... RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development, cloud deployment, and enterprise data ...

Lead AI Platform Engineer

Chicago, IL · On-site

$105K - $139K/yr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Showing results 41-60

Ai Rag information

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Illinois? For Ai Rag jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Illinois look for? The top searched job categories for Ai Rag jobs in Illinois are:
What cities in Illinois are hiring for Ai Rag jobs? Cities in Illinois with the most Ai Rag job openings:

AI & Automation Engineer

AbbVie

North Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical


Job description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Cyber Security Engineering team is seeking a dynamic AI & Automation Engineer to build and support the critical technologies that enable our Information Security and Incident Response teams. Operating in a highly collaborative, hybrid Agile/Scrum environment, you will leverage Python and Golang to develop robust scripting, orchestrate tasks within Cortex XSOAR, and streamline complex security operations. Beyond traditional SOAR engineering, you will play a pivotal role in our AI enablement journey by exploring, securing, and implementing cutting-edge technologies like Retrieval-Augmented Generation (RAG), Agent-to-Agent communications, and the Model Context Protocol (MCP). We are looking for a strong software engineer with a passion for learning emerging AI concepts who can effectively partner with cross-functional teams to automate our defenses and accelerate incident response. 

Responsibilities:

  • Automation Script Development: Write, maintain, and optimize efficient scripts using Python and Golang to automate routine security and incident response tasks.
  • SOAR Platform Orchestration: Develop and manage playbooks, workflows, and integrations within the Cortex XSOAR platform to accelerate incident resolution.
  • Cross-Functional Collaboration: Partner closely with security analysts and cross-functional stakeholders to gather requirements and deliver impactful solutions.
  • Agile Sprint Participation: Actively engage in daily stand-ups, sprint planning, and retrospectives to ensure continuous delivery within our Agile framework.
  • AI Implementation Support: Assist in designing and implementing emerging AI technologies, including RAG architectures, to enhance security team capabilities.
  • Agent Communication Design: Build and test reliable Agent-to-Agent communication workflows that support intelligent, automated decision-making processes.
  • MCP Integration Support: Assist in the development, integration, and security of the Model Context Protocol (MCP) to standardize our AI interactions.
  • API Integration Management: Connect disparate internal systems and third-party security tools using robust RESTful API integrations.
  • Continuous Technology Learning: Dedicate time to researching and experimenting with the latest advancements in AI and automation to identify new operational efficiencies.
  • Code Testing Review: Conduct peer code reviews and implement automated testing to maintain a high-quality, secure, and reliable codebase.
  • Technical Documentation Creation: Create and maintain comprehensive documentation for developed scripts, playbooks, and AI integrations to ensure team-wide knowledge sharing.
Qualifications

Required:

  • Bachelor's degree in Computer Science, Software Engineering, or a closely related field plus 5 years' experience; Or Master's Degree plus 4 years' experience.
  • Respective years of related work experience in software engineering, automation, or integration development.
  • Strong proficiency in programming and scripting languages, specifically Python and Golang.
  • Proven experience developing and consuming RESTful APIs for complex system integrations.
  • Demonstrated capability and enthusiastic interest in learning new technologies, specifically in the AI space (e.g., LLMs, RAG, MCP).
  • Experience working effectively within an Agile/Scrum development methodology.
  • Excellent cross-functional collaboration and communication skills, with the ability to translate operational needs into technical solutions.
  • Solid understanding of software development lifecycles, version control (e.g., Git), and code testing principles.
  • Ability to work successfully in a hybrid work environment.

Preferred:

  • Hands-on experience with Cortex XSOAR or similar SOAR platforms (e.g., Splunk SOAR, Tines).
  • Prior exposure to or foundational knowledge of AI frameworks, RAG implementations, or Agent-to-Agent communications.
  • Basic understanding of cybersecurity principles or incident response workflows (prior security experience is not required, but an interest is a plus).
  • Familiarity with CI/CD pipelines and infrastructure-as-code deployments.
  • Experience with containerization technologies like Docker or Kubernetes.
Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. 
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our short-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html


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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013