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Gen Ai Developer Jobs (NOW HIRING)

CYNET SYSTEMS

Gen AI Developer

Nashville, TN · On-site

$50/hr

Strong understanding of AI application architecture and deployment. * Experience with DevOps, CI/CD, and MLOps practices. * Strong communication and collaboration skills. * Experience working in ...

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth. * Design and architect complex Gen AI solutions leveraging Large Language ...

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth. * Design and architect complex Gen AI solutions leveraging Large Language ...

Pyramid Consulting, Inc.

Gen AI Engineer

Mclean, VA

$55 - $60/hr

Immediate need for a talented Gen AI Engineer . This is a 06+months contract opportunity with ... Experience with CI/CD practices and DevOps methodologies Our client is a leading Banking and ...

Virtusa

Gen AI Developer

Irving, TX · On-site

Proven experience with Agentic AI stacks, including frameworks for building autonomous agents, planning, memory, and tool use. Hands-on experience with prompt engineering, model fine-tuning, and ...

Virtusa

Gen AI Developer

Irving, TX

Proven experience with Agentic AI stacks, including frameworks for building autonomous agents, planning, memory, and tool use. Hands-on experience with prompt engineering, model fine-tuning, and ...

Apptad Inc

Gen AI Developer

Irving, TX · On-site

... engineering teams Strategic Communication Translate highlevel business requirements into sustainable highvalue generative AI solutions CoE Liaison Partner with the BFS AI CoE to bring cuttingedge RD ...

Virtusa Corporation

Gen AI Developer

Irving, TX · On-site

Proven experience with Agentic AI stacks, including frameworks for building autonomous agents, planning, memory, and tool use. Hands-on experience with prompt engineering, model fine-tuning, and ...

Purple Drive Technologies

Gen AI Developer

Chicago, IL · On-site

Role Summary We are looking for an experienced Generative AI Developer to build AI-powered, cloud-native applications using Microsoft Azure and OpenAI technologies . Responsibilities * Develop and ...

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

Gen AI Engineer Experience: 6+ Years Location: Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain Generative AI solutions that drive intelligent automation ...

Tata Consultancy Service Limited

Gen AI Engineer

Plano, TX · On-site

$140K - $160K/yr

Must Have Technical/Functional Skills - Gen AI prompt engineering - Connecting LLMs - Agentic AI - Model Context Protocol - Handon experience- Roles & responsibilities • Gen AI prompt engineering ...

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How much do gen ai developer jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for gen ai developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 per hour, depending on experience, location, and employer.

What is a Gen AI Developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

What are the key skills and qualifications needed to thrive as a Gen AI Developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI Developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.
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Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.
Gen AI Developer

Gen AI Developer

CYNET SYSTEMS

Nashville, TN • On-site

$50/hr

Contractor

Posted 9 days ago

Job description

Job Overview:
 
Requirement/Must Have:
  • Strong production experience delivering Generative AI applications in enterprise or customer-facing environments.
  • Hands-on expertise with Google Cloud Platform Vertex AI and Gemini models.
  • Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
  • Experience building vector embedding and vector search pipelines.
  • Strong cloud-native application development experience.
  • Experience with serverless and container-based cloud solutions.
  • Strong understanding of AI application architecture and deployment.
  • Experience with DevOps, CI/CD, and MLOps practices.
  • Strong communication and collaboration skills.
  • Experience working in Agile software development environments.

Experience:

  • 8+ years of experience in software development or engineering roles.
  • Experience implementing enterprise-grade Generative AI applications in production environments.
  • Hands-on experience with Vertex AI Studio and GCP AI services.
  • Experience designing data grounding strategies for LLM-based applications.
  • Experience building pipelines for preparing, processing, and embedding data.
  • Experience with vector stores such as Vertex AI Vector Search.
  • Experience with DevOps tools such as GitHub and Azure DevOps.
  • Experience with CI/CD pipelines and MLOps implementation.
  • Experience with LangChain or Agentic AI frameworks preferred.
  • Experience with Model Context Protocol preferred.
  • Experience integrating AI solutions with CRM, ERP, eCommerce, EMR, or EHR platforms preferred.
  • Experience working with Agile methodologies and SDLC processes preferred.

Responsibilities:

  • Design, develop, and implement scalable Generative AI solutions on Google Cloud Platform.
  • Build and maintain Retrieval-Augmented Generation (RAG) systems for enterprise AI applications.
  • Design and implement vector embedding and vector search pipelines.
  • Develop data grounding strategies to improve response accuracy and contextual relevance.
  • Implement AI applications using Vertex AI, Gemini, and related GCP services.
  • Explore and implement Agentic AI concepts for autonomous AI workflows.
  • Integrate Model Context Protocol capabilities for enhanced interoperability with external tools and systems.
  • Collaborate with stakeholders, product owners, developers, and business teams to gather requirements and deliver AI solutions.
  • Participate in proof-of-concept and proof-of-technology initiatives for new AI capabilities.
  • Support Agile development practices and collaborate across engineering teams.
  • Maintain and enhance AI application performance, scalability, and reliability.
  • Contribute to CI/CD and MLOps processes for AI deployment and monitoring.
  • Document technical designs, implementation details, and AI workflows.
  • Adhere to organizational code of conduct and operational standards.

Should Have:

  • Growth mindset and willingness to learn emerging AI technologies and frameworks.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts clearly to technical and non-technical stakeholders.
  • Strong collaboration and teamwork abilities.
  • Ability to work independently in fast-paced enterprise environments.
  • Strong attention to detail and quality-focused mindset.

Skills:

  • Generative AI.
  • Vertex AI.
  • Gemini.
  • Retrieval-Augmented Generation (RAG).
  • Vector Embeddings.
  • Vector Search.
  • Google Cloud Platform (GCP).
  • Vertex AI Studio.
  • LangChain.
  • Agentic AI.
  • Model Context Protocol.
  • MLOps.
  • CI/CD.
  • GitHub.
  • Azure DevOps.
  • Cloud-Native Development.
  • Serverless Architecture.
  • Container-Based Solutions.
  • AI Application Development.
  • Machine Learning Pipelines.
  • API Integrations.
  • Agile Methodology.
  • DevOps.

Qualification and Education:

  • Bachelor’s degree in Computer Science or related field required.
  • Equivalent combination of education and relevant experience may be considered.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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