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Contract Generative Ai Prompt Engineer Jobs (NOW HIRING)

Lares IT Solutions Inc

Generative AI Engineer

Plano, TX · On-site

Generative AI Developer Plano, TX We are seeking a seasoned Generative AI Developer with expertise ... prompt engineering, AI-assisted coding tools (GitHub Copilot) * Languages: Python (scripting & AI ...

Compunnel

Oracel AI

Pittsburgh, PA · On-site

$54 - $72.25/hr

Hands-on experience with OCI Generative AI, prompt engineering, embeddings, vector search, retrieval-augmented generation, semantic search, and enterprise GenAI solution development. Strong ...

System One

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Contract to Hire Years Of Exp Required: 12+ Years FUNCTION OF THE GROUP: Workforce Technology ... AI Prompt engineering * Using generative AI tools * AI assisted productivity * Understand quality ...

Motion Recruitment

AI Prompt Engineers

Minneapolis, MN · On-site

... contract opportunity! A well-known Financial Services Company is looking for a Prompt Engineer in ... As a Prompt Engineer, you will play a crucial role in our AI development team by designing and ...

System One

Sr Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Contract to Hire Years Of Experience Required : 8+ Industry Background: Finance / Banking (AI ... AI Prompt engineering * Using generative AI tools * AI?assisted productivity * Understand quality ...

United Airlines

AWS Generative AI Engineer

Columbia, SC · Hybrid

$60 - $78.75/hr

Prompt Engineering * RAG Architecture * Vector Databases * AI Agents and Agentic Workflows * Finetuning and Model Evaluation * Responsible AI and AI Governance Programming Frameworks * Proficiency in ...

System One

Sr Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Contract to Hire Years Of Experience Required : 8+ Industry Background: Finance / Banking (AI ... AI Prompt engineering * Using generative AI tools * AI?assisted productivity * Understand quality ...

Cantina

Prompt Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

As a Prompt Engineer at Cantina Labs, you will operate at the frontier of social generative AI-shaping how millions of users experience storytelling, and connection through AI characters. You'll ...

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ...

Calance US

Azure AI Engineer- onsite

Charlotte, NC · On-site

We are hiring Azure AI Engineer- onsite for a Contract To Hire position in Charlotte, NC Client is ... Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector ...

Sibitalent Corp

Generative AI Engineer

Whippany, NJ · On-site

Implement hallucination reduction, prompt engineering strategies, and model evaluation methods ... Generative AI (LLMs, embeddings, RAG, LLM based apps). * 6+ months of hands on experience with ...

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All JobsContract Generative Ai Prompt Engineer Jobs

Contract Generative Ai Prompt Engineer information

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$30

$48

$99

How much do contract generative ai prompt engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for contract generative ai prompt engineer in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

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.

More about Contract Generative Ai Prompt Engineer jobs
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Contract Generative Ai Prompt Engineer jobs near you
Infographic showing various Contract Generative Ai Prompt Engineer job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

Generative AI Engineer

Lares IT Solutions Inc

Plano, TX • On-site

Other

Posted 14 days ago

Job description

Generative AI Developer

Plano, TX

We are seeking a seasoned Generative AI Developer with expertise in AWS Bedrock and enterprise-grade application development. This role combines advanced AI/ML engineering with the ability to design, build, and deliver scalable, intelligent systems. The ideal candidate will have a proven track record in deploying generative AI solutions, architecting microservices, and integrating AI/LLM capabilities into modern enterprise applications.

Key Responsibilities

  • AI System Design & Implementation: Architect and develop scalable AI agent frameworks tailored to business needs, leveraging foundational models and AWS Bedrock.
  • Bedrock Model Expertise: Fine-tune and deploy Bedrock models (LLMs, multimodal models) for use cases such as vector-based retrieval and Retrieval-Augmented Generation (RAG).
  • Enterprise Application Development: Design, develop, and deliver multi-tier, enterprise-grade applications with a strong focus on microservices, REST APIs, and Kafka-based integrations.
  • Optimization & Reliability: Enhance model performance while balancing computational cost, ensuring deployed AI systems are robust, accurate, and maintainable.
  • Innovation & Integration: Actively integrate AI/ML capabilities and LLM-based tooling into modern software systems, staying current on emerging technologies.
  • Collaboration: Work closely with data scientists, engineers, product managers, and stakeholders to translate AI research into production-ready systems.
  • Leadership & Best Practices: Mentor teams, drive engineering excellence through TDD, BDD, and DoD, and ensure delivery of high-quality software solutions.
  • Data & Infrastructure: Manage large datasets, model lifecycle tools (MLflow, Kubeflow), and containerization (Docker, Kubernetes) for reproducible, scalable environments.

Required Skills & Experience

Technical Skills

  • AI/ML & LLM: AWS Bedrock, OpenAI GPT-4 API, LangChain, Hugging Face Transformers, RAG pipelines, LLM orchestration, prompt engineering, AI-assisted coding tools (GitHub Copilot)
  • Languages: Python (scripting & AI automation), Java (working knowledge)
  • Frameworks: Spring Boot, Spring AI, Microservices, Apache Camel, Fuse ESB
  • Messaging: Apache Kafka, ActiveMQ Artemis, event-driven architecture
  • Frontend: React, HTML5, CSS3, AJAX, jQuery
  • Cloud & DevOps: AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes, Jenkins, Ansible, Git
  • Databases: Oracle (9i/10g/12c), vector databases (Pinecone, others)
  • Testing & Tools: Cucumber (BDD), SonarQube, Postman, JIRA, Maven, Gradle, Apache Spark
  • Operating Systems: Windows, UNIX, IBM AIX

Experience: Several years of experience in AI/ML engineering, with cloud-native, generative AI integrations and familiarity with enterprise application development practices.

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