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Ai Rag Jobs in Mount Prospect, IL (NOW HIRING)

... 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 ...

Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases ... Expose AI/LLM functionality written in Python using Java services, leverage multi-threading ...

Lead AI Platform Engineer

Chicago, IL

$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 ...

NET and Python) for RAG pipelines, AI agent orchestration, and API integrations; remain a strong individual contributor while leading the team. * Set Engineering Standards: Establish patterns for ...

AI Enterprise Architect

Lincolnshire, IL · On-site

$72.75 - $93.75/hr

Define architecture patterns for LLMs, RAG, AI agents, APIs, integrations, and enterprise data. * Partner with engineering teams to ensure AI solutions are secure, scalable, reliable, and production ...

Enterprise AI Architect - Remote

Chicago, IL · On-site

$71 - $91.75/hr

Establish reference patterns for LLM orchestration, RAG pipelines, agent‑based automation, and ... Design AI/Automation Centers of Excellence, policy guardrails, and federated governance models ...

Sr AI/ML Engineer

Chicago, IL · On-site

$102K - $179K/yr

Design and implement RAG pipelines, embedding strategies, and vector search architectures. * Build agentic workflows, prompt strategies, and orchestration patterns for LLM systems. * Own AI/ML ...

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Ai Rag information

See Mount Prospect, IL salary details

$31.8K

$57.9K

$83K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Mount Prospect, IL is $57,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $64,600.00 per year, depending on experience, location, and employer.

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 job categories do people searching Ai Rag jobs in Mount Prospect, IL look for? The top searched job categories for Ai Rag jobs in Mount Prospect, IL are:
What cities near Mount Prospect, IL are hiring for Ai Rag jobs? Cities near Mount Prospect, IL with the most Ai Rag job openings:

$120K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

Must Have Technical/Functional Skills
Databricks and Azure AI Foundry must-have; ML engineering/Applied AI; production ML deployment; RAG and Agentic AI systems; Python; model serving frameworks and API development such as FastAPI/MLflow; vector databases and embeddings; LangChain/LlamaIndex or similar orchestration; CI/CD; containerization; cloud deployment; predictive ML and agentic evaluation; MLOps/model monitoring preferred; regulated/high-compliance environments preferred.
Roles & Responsibilities
Design, build, and deploy AI/ML solutions; lead full AI lifecycle from experimentation to production; build ML models and LLM-powered RAG/agent systems; translate business challenges into AI solutions and KPIs; design embeddings/vector search and orchestration patterns; own end-to-end implementation, deployment, and operations; evaluate performance with automated and human-in-the-loop methods; optimize latency, cost, scalability, reliability; implement CI/CD, MLOps, monitoring, drift detection, retraining, lifecycle management; mentor and promote responsible AI governance.
Generic Managerial Skills, If any
Autonomous ownership; mentoring; architecture influence; curiosity and emerging-AI mindset; cross-functional collaboration.
Salary Range: $120,000 -$130,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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