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Contract Generative Ai Prompt Engineer Jobs in Ohio

Co-own operational readiness (evaluation, monitoring requirements, documentation, safeguards) and support post-release tuning of Generative AI solutions (such as prompt engineering and RAG). * Lead ...

Co-own operational readiness (evaluation, monitoring requirements, documentation, safeguards) and support post-release tuning of Generative AI solutions (such as prompt engineering and RAG). * Lead ...

... generative AI systems. This role is responsible for building and managing the infrastructure ... RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies.

Lead the strategy, architecture, and implementation of enterprise AI, Generative AI, and MLOps ... RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies.

Lead the strategy, architecture, and implementation of enterprise AI, Generative AI, and MLOps ... RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies.

... generative AI systems. This role is responsible for building and managing the infrastructure ... prompt orchestration, model governance and guardrails, and cost optimization strategies. · Strong ...

... generative AI systems. This role is responsible for building and managing the infrastructure ... RAG), prompt orchestration, model governance and guardrails, and cost optimization strategies.

... generative AI systems. This role is responsible for building and managing the infrastructure ... prompt orchestration, model governance and guardrails, and cost optimization strategies. • Strong ...

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable. * Evaluate emerging AI/ML technologies for production ...

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable. * Evaluate emerging AI/ML technologies for production ...

Showing results 21-40

Contract Generative Ai Prompt Engineer information

What is the difference between Contract Generative Ai Prompt Engineer vs Data Scientist?

AspectContract Generative Ai Prompt EngineerData Scientist
CredentialsTypically requires knowledge of AI, NLP, and prompt engineering; often a background in computer science or related fieldsRequires degrees in statistics, mathematics, or computer science; often with certifications in data analysis or machine learning
Work EnvironmentContract-based, project-specific, often remote or freelanceFull-time, in-house or remote, working with data teams
Industry UsagePrimarily in AI development, chatbot creation, and NLP applicationsAcross industries for data analysis, predictive modeling, and business insights

The Contract Generative Ai Prompt Engineer focuses on designing prompts for AI models, mainly in NLP and AI applications, often on a contract basis. In contrast, Data Scientists analyze data to derive insights, build models, and support decision-making. While both roles require technical skills, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Ohio?

The most popular types of Generative Ai Prompt Engineer jobs in Ohio are:

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Cities in Ohio with the most Contract Generative Ai Prompt Engineer job openings:

C2C Hiring | Lead Fullstack AI Engineer (Python and Java, react) | Columbus, OH

Tech Mirrors

Columbus, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Role:- Lead Fullstack Engineer (AI, Python and Java, react)

Location:- Columbus, OH (Hybrid 3 days onsite)

H1B is fine

Note:- For showing local proof, we need Live or current location on Whatsapp number if you really comfortable to share live location then send me resume.

Software Engineer – Full Stack & Generative AI Overview

We are seeking a Lead Software Engineer (LSE) to serve as a key technical contributor responsible for designing, developing, testing, and deploying enterprise-grade software solutions.

This role spans full-stack development and modern Generative AI solution design, requiring strong collaboration with business stakeholders and technology teams to deliver scalable, secure, and innovative solutions.

The ideal candidate combines deep engineering expertise with a self-starter mindset and the ability to execute quickly in agile environments.

Key Responsibilities
  • Lead complex technical initiatives across full-stack and AI-enabled solutions
  • Design and develop scalable microservices using Java, Spring, and Spring Boot
  • Build modern, responsive single-page applications using React, TypeScript, and related frameworks
  • Develop and integrate secure APIs (REST and GraphQL)
  • Design and implement Generative AI solutions using modern frameworks and tools
  • Collaborate closely with product, architecture, and DevOps teams for end-to-end delivery
  • Apply observability practices including logging, monitoring, and tracing
  • Mentor and guide engineers while promoting best practices and engineering excellence
  • Drive architectural decisions aligned with enterprise standards
Required Qualifications
  • 3+ years of experience developing single page applications using Python, Java, JavaScript, and TypeScript
  • Strong experience with modern frameworks such as React.js, Next.js, Tailwind, and Bootstrap
  • 5+ years of experience designing and developing enterprise-grade applications
  • Hands-on experience with Java and Spring/Spring Boot for backend development
  • Strong understanding of API design and integration (REST, GraphQL)
  • Experience with version control systems such as Git
  • Strong problem-solving skills and ability to lead technical design decisions
Generative AI Expertise
  • 2+ years of hands-on experience building Generative AI applications
  • Experience with ADK, OpenAI Agent frameworks, LangChain, LangGraph, or similar tools
  • Understanding of LLM concepts, prompt engineering, and Retrieval-Augmented Generation (RAG)
Nice to Have
  • 2+ years of experience with public cloud platforms (AWS, Azure, or GCP)
  • Experience with event streaming platforms such as Kafka
  • Familiarity with caching technologies such as Redis
  • Experience with CI/CD and DevOps tools (Jenkins, Harness, Artifactory, SonarQube, etc.)
Agility and Mindset
  • Ability to iterate quickly and adapt to evolving requirements
  • Self-starter with strong ownership and accountability
  • Ability to deliver high-quality solutions at speed without compromising engineering standards
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