ZipRecruiter

Log In

2

Remote Rag Jobs in Chicago, IL (NOW HIRING)

The Provato Group

Lead Engineer - Remote (U.S.)

Chicago, IL · Remote

$105.70K - $139.20K/yr

Fully Remote (U.S.‑based) Employment Type: Full‑Time Compensation: Competitive salary ... Experience with LLMs, vector databases, or retrieval‑augmented generation (RAG) * Background in ...

CoSourcing Partners

GCP Gemini AI Developer

Chicago, IL · On-site +1

Remote / Hybrid - Chicago preferred Employment Type: Contract / Full-Time Reports To: GCP Technical ... Reusable components adopted in at least 3 future use cases. 3. RAG / Context-Aware Workflows ...

next page

Showing results 1-20

People also search for

All JobsRag JobsRemote Rag JobsRemote Rag Jobs in Chicago, IL

Remote Rag information

See Chicago, IL salary details

$17

$22

$24

How much do remote rag jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote rag in Chicago, IL is $22.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $23.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.
What are the most commonly searched types of Rag jobs in Chicago, IL? The most popular types of Rag jobs in Chicago, IL are:
What are popular job titles related to Remote Rag jobs in Chicago, IL? For Remote Rag jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Rag jobs in Chicago, IL look for? The top searched job categories for Remote Rag jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Rag jobs? Cities near Chicago, IL with the most Remote Rag job openings:
Remote Rag jobs near you
Lead Engineer - Remote (U.S.)

Lead Engineer - Remote (U.S.)

The Provato Group

Chicago, IL • Remote

$105.70K - $139.20K/yr

Full-time

Posted 29 days ago

Job description

Location: Fully Remote (U.S.‑based)
Employment Type: Full‑Time
Compensation: Competitive salary + performance‑based incentives
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)

Role Overview

We are seeking a highly skilled Lead Engineer to drive the development of a next‑generation AI‑powered governance and data platform.
This role is ideal for an engineer who thrives in fast‑moving environments, enjoys solving complex technical problems, and is excited by the opportunity to influence architecture, strategy, and engineering culture.

You will lead the design and implementation of backend systems, data pipelines, and AI/ML integrations while collaborating closely with product, data, and leadership teams. This is a hands‑on leadership role with significant autonomy and impact.

Key Responsibilities

  • Lead the design, development, and optimization of backend services, APIs, and data‑driven systems

  • Architect and implement scalable data pipelines, integrations, and storage solutions

  • Build and maintain high‑performance services using TypeScript, Node.js, SQL, and at least one of Python, Go, or Rust

  • Collaborate with product and data teams to define technical requirements and deliver high‑quality solutions

  • Integrate AI/ML models into production systems, ensuring reliability and performance

  • Establish engineering best practices, code quality standards, and documentation processes

  • Mentor engineers and contribute to a culture of technical excellence

  • Participate in roadmap planning, architectural decisions, and long‑term platform strategy

Required Qualifications

  • 7+ years of professional software engineering experience

  • Strong proficiency in TypeScript, Node.js, and SQL

  • Experience with at least one of: Python, Go, or Rust

  • Hands‑on experience building and maintaining data pipelines or distributed systems

  • Familiarity with AI/ML concepts and integrating models into production environments

  • Strong understanding of system design, architecture, and performance optimization

  • Experience working in fast‑paced, high‑ownership environments

  • Excellent communication skills and ability to collaborate across teams

Preferred Experience (Nice‑to‑Have)

  • Experience with LLMs, vector databases, or retrieval‑augmented generation (RAG)

  • Background in fintech, governance systems, or data‑heavy platforms

  • Familiarity with cloud‑native infrastructure and DevOps practices

  • Experience leading small engineering teams or mentoring developers

Soft Skills

  • Strong ownership mindset and ability to operate autonomously

  • Comfortable navigating ambiguity and rapidly evolving requirements

  • Collaborative, transparent, and proactive communicator

  • Ability to balance speed with technical rigor

  • Curiosity and willingness to explore new technologies and approaches

Why This Role Stands Out

  • High‑impact engineering leadership role

  • Opportunity to shape architecture and technical direction

  • Work with cutting‑edge AI/ML technologies

  • Fully remote flexibility

  • Mission‑driven environment with complex, meaningful challenges