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Entry Level Generative Ai Engineer Jobs (NOW HIRING)

OmegaHires

AI Engineer

Irving, TX · On-site

AI Engineer - Python / Cloud / Generative AI **Location:** Irving, TX (Hybrid) ** ** We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications and agentic ...

Winaxis

AI Engineer

Raleigh, NC · On-site

$94K - $129K/yr

AI Engineer Experience 0-3 Years Employment Type Full-time Location Hybrid About the Role We are ... Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills ...

New

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

Winaxis

AI Engineer

Jersey City, NJ · On-site

$101K - $139K/yr

AI Engineer Experience 0-3 Years Employment Type Full-time Location Hybrid About the Role We are ... Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills ...

Emonics LLC

Associate AI Engineer

Edison, NJ · On-site

Stay current with emerging AI/ML and generative-AI technologies. Required Qualifications: * Bachelor's degree or equivalent knowledge in Computer Science, AI, Data Science, Engineering, or a related ...

Kanak Elite Services Inc

AI Engineer

Santa Clara, CA · On-site

We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions. This role involves designing, developing, and optimizing generative AI models and ...

Centillion Infotech

AI Lead (Generative AI)

Tampa, FL · On-site

$127K - $156K/yr

Contribute to prompt engineering and development of AI-powered workflows. * Design and implement solutions leveraging LLMs and Generative AI . * Assist with deployment, monitoring, maintenance, and ...

Winaxis

AI Engineer

Dallas, TX · On-site

AI Engineer Experience 0-3 Years Employment Type Full-time Location Hybrid About the Role We are ... Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ...

Info Way Solutions

Gen AI Engineer

Indianapolis, IN · On-site

Info Way Solutions is seeking a Generative AI Engineer to design, develop, and deploy cutting-edge generative models across various domains. The role involves working with large language models and ...

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

Description Uncountable is seeking driven software engineers with a focus on Generative AI deployment in software. Uncountable's software platform is used by scientists in leading scientific R&D ...

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented ... Develop Generative AI solutions, including chatbots, summarization, and content creation tools.

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

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Entry Level Generative Ai Engineer information

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$30K

$69.4K

$118K

How much do entry level generative ai engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level generative ai engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is an entry level generative AI engineer?

Entry level generative AI engineers are professionals who work with artificial intelligence technologies focused on creating new content such as images, text, audio, or code. They typically assist in developing, training, and fine-tuning machine learning models like GPT or GANs under the supervision of senior engineers. These roles usually require a strong foundation in programming, mathematics, and machine learning concepts, but may not demand extensive industry experience. Tasks often include data preprocessing, model evaluation, and contributing to research or product development involving generative AI.

What are the key skills and qualifications needed to thrive as an entry level generative AI engineer?

To thrive as an Entry Level Generative AI Engineer, you need a solid background in computer science, mathematics, and machine learning fundamentals, typically supported by a relevant degree or coursework. Familiarity with Python, deep learning frameworks like TensorFlow or PyTorch, and version control systems such as Git is important, along with any foundational certifications in AI or data science. Strong problem-solving ability, curiosity, and effective teamwork skills will help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and improving generative AI models in a rapidly evolving technical landscape.

What are common challenges faced by entry level generative AI engineers, and how can they be addressed?

Entry level Generative AI Engineers often encounter challenges such as mastering complex machine learning frameworks, understanding the nuances of training large models, and keeping up with rapidly evolving research. Collaborating closely with more experienced team members through code reviews and pair programming can accelerate learning. It's also helpful to engage in continuous education through online courses and participate in team discussions to stay updated on the latest advancements and best practices in the field.

What is the difference between Entry Level Generative Ai Engineer vs Data Scientist?

AspectEntry Level Generative Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic knowledge of machine learning and programmingBachelor's or higher in CS, Statistics, or related; knowledge of data analysis and modeling
Work EnvironmentTech companies, AI startups, research labs focusing on AI model developmentVarious industries including finance, healthcare, marketing; analyzing data to inform decisions
Employer & Industry UsagePrimarily in AI and tech sectors developing generative modelsAcross multiple sectors using data to solve business problems

While both roles require a background in data and programming, Entry Level Generative Ai Engineers focus on developing AI models like generative adversarial networks, whereas Data Scientists analyze data to generate insights. The former is more specialized in AI model creation, while the latter covers broader data analysis tasks.

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Entry Level Generative Ai Engineer jobs near you
Infographic showing various Entry Level Generative Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

AI Engineer

Irving, TX • On-site

OmegaHires
Recruiting and Staffing Services • 11 - 50 employees
Learn more about OmegaHiresexternal

Contractor

Posted 5 days ago

Job description

AI Engineer
**Job Role:** AI Engineer - Python / Cloud / Generative AI **Location:** Irving, TX (Hybrid) **Job Description:** We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications and agentic workflows using Python, Cloud technologies, Anthropic Claude, and LangGraph or LangChain. The ideal candidate will have hands-on experience building production-grade GenAI solutions, integrating LLMs with enterprise applications, and developing intelligent agents using modern AI frameworks. **Key Responsibilities:** - Design and develop LLM-powered applications and AI agents using Python. - Build agentic workflows using LangGraph or LangChain. - Develop solutions leveraging Anthropic Claude and other foundation models. - Work with Google ADK (Agent Development Kit) to build and orchestrate AI agents. - Integrate LLMs with enterprise APIs, databases, tools, and cloud services. - Develop RAG pipelines, prompt engineering solutions, tool/function calling, and multi-step agent workflows. - Deploy and operate AI applications in cloud environments. - Implement testing, monitoring, logging, security, and performance optimization for AI systems. - Collaborate with product, engineering, and business teams to translate into scalable AI solutions. ** Skills:** - Strong hands-on Python development experience. - Proven experience building Generative AI / LLM applications. - Strong experience with Anthropic Claude. - Hands-on experience with LangGraph or LangChain. - Experience with Google ADK (Agent Development Kit). - Strong understanding of Cloud platforms and cloud-native application development. - Experience with AI agents, RAG, prompt engineering, tool/function calling, and LLM orchestration. - Experience integrating AI solutions with REST APIs, databases, and enterprise systems. - Strong understanding of software engineering practices, APIs, CI/CD, and production deployments. **Preferred Qualifications:** - Experience with AWS, GCP, or Azure. - Experience with vector databases and embedding technologies. - Familiarity with LLM evaluation, observability, and AI safety/guardrails. - Experience developing scalable microservices using Python frameworks such as FastAPI. - Experience working in Agile development environments.

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