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Generative Ai Entry Level Jobs (NOW HIRING)

Sia

Associate Consultant, Generative AI

Manhattan, NY · On-site

We are growing our Generative AI consulting practice and looking for motivated entry level candidates to join as GenAI Consultants. You'll work at the intersection of cutting-edge AI and real ...

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

We actively encourage entry level candidates, PhDs, and postdocs to apply. A strong research record ... Knowledge of AI-based CAD generation, generative models for 3D geometry, or generative design ...

Tata Consultancy Services

Job Summary We are seeking a motivated and curious Software Engineer who is a recent or upcoming graduate passionate about the potential of Generative AI. This is a unique entry-level opportunity to ...

Colony Brands, Inc.

AI Image Production Specialist

Monroe, WI · On-site

$15.50 - $21.25/hr

To support our Creative Marketing Services, we are seeking an entry-level AI Image Production Specialist to create brand-aligned images utilizing text-to-image and generative AI tools. What You'll Do ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Work with Generative AI, LLMs, prompt engineering, or RAG-based applications. * Deploy and monitor ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

Kyndryl

The Role Your role The Associate AI Engineer is an entry-level technical role supporting the design ... AI Engineering Path Build, test, and deploy AI-powered applications, generative AI solutions ...

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Generative Ai Entry Level information

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How much do generative ai entry level jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for generative ai entry level in the United States is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

What does a generative AI entry level professional do?

A Generative AI Entry Level professional assists in developing, training, and testing artificial intelligence models that can create new content, such as text, images, or audio. They often work with large datasets, help fine-tune AI models, and support more senior engineers in implementing machine learning algorithms. Typical tasks include data preprocessing, running experiments, evaluating model outputs, and documenting results. This role is ideal for those new to the AI field and looking to gain hands-on experience in generative technologies.

What types of projects do generative AI entry level professionals typically work on, and how do they contribute to larger team goals?

As an entry-level professional in Generative AI, you may work on tasks such as data preprocessing, model training, and evaluating the performance of generative models. You'll often collaborate with researchers, data scientists, and software engineers to support more complex projects, such as developing new text or image generation tools. Your contributions help ensure data quality and model accuracy, and you may also assist in documenting results and preparing presentations. This collaborative environment allows you to learn from experienced colleagues while building foundational skills for future growth.

What are the key skills and qualifications needed to thrive as a generative AI entry level professional, and why are they important?

To thrive as a Generative AI Entry Level professional, you need a basic understanding of machine learning concepts, Python programming, and a relevant degree such as computer science or data science. Familiarity with tools like TensorFlow, PyTorch, and version control systems, as well as exposure to cloud platforms, is typically expected. Strong problem-solving abilities, eagerness to learn, and the ability to communicate technical information clearly help individuals stand out in this role. These skills and qualities are crucial to effectively contribute to AI projects, adapt to rapidly evolving technologies, and collaborate within technical teams.

Can I get a generative AI entry level job with no experience?

Entry-level generative AI jobs often require some foundational knowledge of machine learning, programming (such as Python), and familiarity with AI frameworks like TensorFlow or PyTorch. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such roles.

How to start a career in Generative AI?

To start a career in Generative AI, develop a strong foundation in programming languages like Python, learn machine learning and deep learning concepts, and gain experience with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining certifications in AI or data science can also improve job prospects in this field.
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Generative Ai Entry Level jobs near you
Infographic showing various Generative Ai Entry Level job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 77% In-person, 6% Hybrid, and 17% Remote job distribution, with an average salary of $46,753 per year, or $22.5 per hour.

Generative AI Researcher

Tata Consultancy Services

Warren, MI • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

173rd of 224 rated it services

Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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