ZipRecruiter

Log In

2

Remote Prompt Engineering Jobs in Chicago, IL (NOW HIRING)

CoSourcing Partners

GCP Gemini AI Developer

Chicago, IL · On-site +1

Remote / Hybrid - Chicago preferred Employment Type: Contract / Full-Time Reports To: GCP Technical ... Apply prompt engineering and parameter tuning to improve generative model accuracy. * Implement RAG ...

LaunchPad Lab

AI Agent Engineer

Chicago, IL · On-site +1

$125K - $175K/yr

Experience with agent design patterns including prompt engineering, RAG architectures, tool ... Fully remote with a collaborative, low-ego team that has been building software together for over a ...

LaunchPad Lab

AI Agent Engineer

Chicago, IL · Remote

$125K - $175K/yr

Experience with agent design patterns including prompt engineering, RAG architectures, tool ... Fully remote with a collaborative, low-ego team that has been building software together for over a ...

LaunchPad Lab

AI Agent Engineer

Chicago, IL · Remote

$125K - $175K/yr

Experience with agent design patterns including prompt engineering, RAG architectures, tool ... Fully remote with a collaborative, low-ego team that has been building software together for over a ...

Consumer Reports

Software Engineer - Product

Chicago, IL · On-site +1

$120K - $140K/yr

This is a remote position. This position is not eligible for sponsorship or relocation assistance ... prompt engineering and foundation model experimentation. * Continuously research, test, and ...

Invoca

Sr. Sales Engineer

Chicago, IL · On-site +1

Practical experience with LLM orchestration (RAG, Prompt Engineering) and frameworks like LangChain ... We are proud to be an equal opportunity workplace. #LI-Remote

SpotOn

Staff AI Engineer

Chicago, IL · Remote

$210K - $280K/yr

If you're looking to make an impact with heart and hustle, SpotOn is the place for you. (Remote ... You can speak to failure modes, cost optimization, prompt engineering patterns, and model selection ...

Apex Systems

AI Integration Developer

Lemont, IL · On-site +1

$50 - $80/hr

Strong understanding of AI, LLMs, and prompt engineering. * Proficiency in Python scripting for ... The work schedule is primarily remote, with a requirement to be on-site between 20-40% of the time.

next page

Showing results 1-20

All JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Chicago, IL

Remote Prompt Engineering information

See Chicago, IL salary details

$17

$34

$49

How much do remote prompt engineering jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for remote prompt engineering in Chicago, IL is $34.05, according to ZipRecruiter salary data. Most workers in this role earn between $27.26 and $39.38 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

Remote prompt engineering is a freelance or contract role that can generate significant income if you have strong skills in AI, natural language processing, and prompt design. Earning $2000 weekly typically requires multiple clients, high-quality work, and efficient time management, often involving project-based tasks or retainer agreements. Building a portfolio and gaining experience with tools like GPT models can help increase earning potential.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

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

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

Are prompt engineers still in demand?

Prompt engineering is a growing field as organizations seek to optimize AI language models for various applications. Demand for prompt engineers is increasing, especially for roles involving natural language processing, AI model tuning, and familiarity with tools like GPT and other large language models.

How to make $1000 a week remote?

Remote prompt engineering involves creating and refining prompts for AI models, and experienced professionals can earn around $20 to $50 per hour. To make $1000 weekly, one would need to work approximately 20 to 50 hours at this rate, often requiring strong language skills, familiarity with AI tools, and consistent project availability. Building a portfolio and gaining certifications can help increase earning potential in this field.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.
What are the most commonly searched types of Prompt Engineering jobs in Chicago, IL? The most popular types of Prompt Engineering jobs in Chicago, IL are:
What are popular job titles related to Remote Prompt Engineering jobs in Chicago, IL? For Remote Prompt Engineering jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Chicago, IL look for? The top searched job categories for Remote Prompt Engineering jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Prompt Engineering jobs? Cities near Chicago, IL with the most Remote Prompt Engineering job openings:
Remote Prompt Engineering jobs near you

Director, AI Solutions Architect (Remote)

Inspira Financial

Oak Brook, IL • On-site, Remote

Full-time

Posted 5 days ago

Inspira Financial rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

The Director, AI Solutions Architect is a senior technical leader responsible for translating enterprise AI strategy into scalable, secure, and production-ready solutions. Reporting to the Senior Director, Software Engineering, this role serves as the connective tissue between strategy and execution-owning solution architecture, technical standards, and delivery excellence for AI-enabled products across the organization.
This leader works side by side with Product, Design, Engineering, Security, and Platform teams to deliver AI-driven solutions that delight customers and accelerate time to value-while balancing feasibility, scalability, cost, and compliance. The Director sets architectural direction, coaches teams, and remains hands-on where it matters most, ensuring the organization applies AI responsibly and effectively to real business problems.
You will guide engineering teams on when and how to apply AI capabilities-copilots, agents, and vendor integrations-while enforcing architectural guardrails and elevating engineering maturity. You translate vision into architecture, patterns, and working software that deliver measurable outcomes. You are equally comfortable influencing executives and diving into code with teams to unblock delivery.
Key Responsibilities
  • Own end-to-end solution architecture for AI and AI-enabled products (discovery → design → deployment), ensuring security, reliability, cost efficiency, and maintainability across cloud and on-prem environments.
  • Serve as the architecture authority for GenAI and applied AI solutions, approving designs and ensuring alignment with enterprise standards set by the AI CoE.
  • Establish and evolve reference architectures and reusable patterns for GenAI and applied AI (RAG, agents/orchestration, vector search, prompt & tool design, event-driven microservices, API gateways).
  • Select fit-for-purpose models and services (e.g., Azure OpenAI, Bedrock, Vertex, OSS LLMs, embedding models), articulating clear tradeoffs across performance, latency, privacy, and cost.
  • Partner with product and platform teams to ship production-grade solutions, guiding teams from prototype → pilot → scaled production.
  • Define and enforce best practices for CI/CD, Infrastructure as Code, and MLOps/LLMOps, including model versioning, prompt/config management, evaluation frameworks, drift detection, and safety monitoring.
  • Ensure observability and operational readiness (tracing, guardrails, red-teaming, cost dashboards, SLOs, runbooks) before production cutover.
  • Review critical pull requests, architecture decisions, and platform changes to raise overall engineering quality.
  • Act as a technical leader and multiplier, coaching engineers and architects on responsible, pragmatic AI adoption.
  • Build and mentor a small group of senior architects and technical leads, helping grow the next generation of AI leaders.
  • Evangelize effective use of copilots, agent frameworks, and integration SDKs to improve developer velocity without compromising quality or security.
  • Raise the bar on engineering excellence through design reviews, threat modeling, coding standards, and documentation discipline.
  • Lead architecture discovery with business stakeholders: frame problems, quantify constraints, and translate business goals into technical roadmaps.
  • Define and track outcome-based KPIs (time to first value, cost to serve, task success, accuracy, CSAT/NPS, deflection).
  • Communicate architectural tradeoffs, risks, and roadmaps in clear, executive-ready language.
  • Publish and maintain architecture decision records (ADRs) and platform documentation to ensure

Education & Experience
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or equivalent practical experience.
  • 10+ years in software engineering, solution architecture, or platform engineering, including 3-5+ years delivering applied ML/GenAI solutions in production.
  • Demonstrated experience leading architecture across multiple teams or products, not just contributing as an individual architect.
  • Extensive hands-on experience with cloud platforms (GCP preferred), including:
  • Vertex AI, BigQuery, Dataflow, Pub/Sub
  • Cloud-native microservices, APIs, event streaming
  • Containers and orchestration (Kubernetes/GKE)
  • Infrastructure as Code (Terraform)
  • Deep practical expertise with GenAI patterns: RAG, vector databases, prompt engineering & evaluation, agent design, function/tool calling, and orchestration.
  • Strong command of MLOps/LLMOps, including CI/CD for models and prompts, offline/online evaluation, telemetry, drift detection, and safety monitoring.

Skills & Abilities
  • Experience operating in regulated industries (financial services, healthcare, public sector) or similarly high-trust environments.
  • Strong background in security, privacy, and compliance-by-design, including OAuth/OIDC, secrets management, data protection, and AI safety controls.
  • Proven ability to influence without authority, aligning product, engineering, security, and business stakeholders.
  • Exceptional written and verbal communication skills, with demonstrated executive presence.
  • Certifications (nice to have): Cloud Architect, Security (e.g., CISSP/CCSK), or equivalent.

Other Requirements:
  • Ability to work occasional overtime.
  • Occasional travel (up to ~15%).
  • Occasional after-hours work to support releases or incident response.
  • Prolonged periods of sitting at a desk and working on a computer.

What Inspira Financial employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply