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Entry Level Generative Ai Engineer Jobs (NOW HIRING)

Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL - Hybrid - 3days/week onsite Duration: Long Term Contract - W2 only Job Summary: We are seeking a highly ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

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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 ...

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 ...

Role: Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop ...

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 ...

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.

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)

Role Summary We are looking for a Generative AI Developer who can build end-to-end, production-grade applications using Generative AI. The ideal candidate is a strong technologist with experience ...

AI Engineer

Malvern, PA · On-site

$42 - $52/hr

AI Engineer Job Location: Malvern, PA Job Type: Contract * Design, build, and optimize AI agents ... Work with Amazon Bedrock to integrate and orchestrate generative AI services * Collaborate with ...

... in Generative AI-related fields Qualifications : Required : • Strong hands-on Python knowledge ... Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • ...

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Responsibilities Peraton is seeking motivated Generative AI Engineering Interns (Graduate) supporting Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

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... in Generative AI-related fields Qualifications : Required : • Strong hands-on Python knowledge ... Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • ...

Showing results 41-60

Entry Level Generative Ai Engineer information

See salary details

$30K

$69.4K

$118K

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

As of Aug 21, 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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Infographic showing various Entry Level Generative Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Data & AI_AI Engineer (Agentic AI)

GFR Technologies SE

Mineral Springs, NC • On-site

$102K - $123K/yr

Full-time

Re-posted 11 days ago


Job description


GFT es una compania pionera en transformacion digital. Disenamos soluciones de negocio centradas en la inteligencia artificial (AI-Centric), modernizamos infraestructuras de TI y desarrollamos sistemas core de nueva generacion para lideres del sector bancario, asegurador e industrial. En estrecha colaboracion con nuestros clientes, desafiamos los limites para ayudarles a alcanzar todo su potencial.


Que estamos buscando?

Actualmente, tenemos un puesto vacante para un/a AI Engineer (Agentic AI) que quiera unirse a nuestra compania. Buscamos una persona con una solida trayectoria en ciencia de datos, capaz de liderar equipos, disenar estrategias analiticas y guiar la implementacion de soluciones avanzadas en entornos de Inteligencia Artificial/ Data Science para nuestro Center of Excellence (CoE) AI.DA.  

Tus principales responsabilidades son: 

Aunque dependeran de tu perfil y experiencia aportada, en general las principales funciones que llevarias a cabo con nosotros serian:

  • Desarrollo de soluciones basadas en Inteligencia Artificial y Data Science.

  • Diseno de Patrones Multi-Agente (skills y subagentes).

  • Prompting.

  • Gestion de Estado y Memoria.

  • RAG. 

  • Planificacion(Reasoning Loops).

  • Diseno de Herramientas (Tooling) e integraciones. 

  • Manejo de Errores en Tools.

  • Interoperabilidad: Seguridad y LLMOps.

  • Guardrails.

  • Gestion de costos y Latencia: Python, Java, Kafka, Microservicios. 

Requisitos :

  • Experiencia profesional de mas de 5 anos en desarllo de software (Generative AI & Data Science Solutions).

  • Experiencia obligatoria en lenguaje de programacion Python. 
  • Inteligencia Artificial: Experiencia en Generative AI y/o Data Science (MLOps, frameworks de ML/GenAI como TensorFlow, PyTorch, LangChain etc) de al menos 6 meses.

  • Desarrollo de Software backend(Apis, microservicios, arquitectura escalable).
  • SDLC: manejo de GIT, pruebas unitarias, integracion continua y despliegue CI/CD.
  • Cloud:  Experiencia en al menos un proveedor (AWS, GCP o Azure).

  • Conocimientos de bases de datos y estructuras de datos.
  • Experiencia en gestion y liderazgo de equipos tecnicos, promoviendo buenas practicas y metodologias eficientes en el desarrollo de ciencia de datos.

  • Conocimiento de metodologias agiles (Scrum/Kanban). 
  • Valorable nivel de ingles alto (B2/C1) para colaborar en proyectos internacionales.

Competencias personales:
 

  • Trabajo en equipo y colaboraciohn multidisciplinaria. 

  • Habilidades de comunicacion, favoreciendo dinamicas que permitan el flujo de conocimiento, con interes tanto en aprender como en ensenar.

  • Buena comunicacion  y documentacion tecnica. 
  • Orientacion a resultados y proactividad. 

En GFT consideramos que la diversidad es uno de nuestros pilares fundamentales y promovemos un entorno de trabajo inclusivo basado en la cooperacion y el respeto mutuo. Ofrecemos igualdad de oportunidades a todas las personas sin tener en cuenta su raza, origen cultural, sexo, edad, orientacion sexual, identidad de genero, discapacidad o creencias religiosas.
GFT dispone y ha registrado un Plan de Igualdad que recoge las medidas a adoptar con el objetivo de alcanzar en la empresa la igualdad de trato y de oportunidades entre mujeres y hombres y a eliminar, si es que la hay, la discriminacion por razon de sexo.

Unete a nuestro equipo global!