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Generative Ai No Experience Jobs (NOW HIRING)

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI ... The ideal candidate will have a strong background in investment banking, hands-on experience with ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... Experience training and deploying generative models (diffusion, autoregressive, or related ...

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Generative Ai No Experience information

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How much do generative ai no experience jobs pay per year?

As of Jun 17, 2026, the average yearly pay for generative ai no experience in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are generative AI jobs for people with no experience?

Generative AI jobs for people with no experience are entry-level roles that involve working with artificial intelligence systems designed to create content, such as text, images, or music. These roles may include positions like AI prompt engineer, data annotator, AI content reviewer, or junior AI research assistant. Many employers provide on-the-job training and look for candidates who are curious, willing to learn, and have basic computer skills. While having a background in computer science or data analysis can help, it's not always required, as many companies are open to training motivated individuals. Building foundational skills through online courses or tutorials can also improve your chances of landing a generative AI job.

What types of entry-level tasks can someone expect in a Generative AI role with no prior experience?

In an entry-level Generative AI position, you'll likely start with tasks such as data preprocessing, organizing datasets, and assisting in the evaluation of AI-generated outputs. You may also help with documentation, support the training and fine-tuning of models under supervision, and participate in team meetings to learn about project goals and methodologies. These responsibilities help you build a strong foundation in AI workflows and provide opportunities to collaborate closely with more experienced engineers and researchers.

What are the key skills and qualifications needed to thrive in an entry-level Generative AI role, and why are they important?

To thrive in an entry-level Generative AI role, a basic understanding of programming (especially Python), foundational knowledge of machine learning concepts, and a willingness to learn are essential, even without prior direct experience. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (such as AWS or Google Cloud) is highly beneficial, as are completion of online courses or certifications in AI or data science. Strong problem-solving skills, curiosity, effective communication, and adaptability help candidates stand out and learn quickly on the job. These skills and qualities are crucial for keeping pace with rapidly evolving AI technologies and contributing effectively to team projects.
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Generative Ai No Experience jobs near you
Infographic showing various Generative Ai No Experience job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Generative AI Researcher

Generative AI Researcher

Tata Consultancy Services

Warren, MI

Full-time

Posted 27 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

154th of 204 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

Get the full story on Breakroom

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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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