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Entry Level Generative Ai Engineer Jobs (NOW HIRING)

Arohak Inc

Gen AI Engineer

Raritan, NJ

We are seeking a talented Generative AI Engineer to design, develop, and deploy cutting-edge generative AI solutions. You will work on Large Language Models (LLMs), prompt engineering, and AI-powered ...

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 ...

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.

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

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 ...

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)

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 ...

Expleo

AI Engineer

Los Angeles, CA

Nous recherchons un(e) AI Engineer passionné(e) par les technologies d'Intelligence Artificielle ... Concevoir et développer des solutions basées sur les technologies Generative AI : * RAG ...

Numos AI

Senior AI Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

We're looking for a Senior AI engineer to build the core intelligence behind AI teammates for ... Experience working with LLMs and generative AI systems * Strong Python skills with frameworks like ...

Staffingine LLC

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 ...

Inficare Technologies

AI Engineer

Phoenix, AZ · On-site

We are seeking an experienced Developer / Data Engineer with strong expertise in Python, Generative AI, and Cloud platforms (GCP/AWS). The ideal candidate has hands-on experience designing and ...

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Entry Level Generative Ai Engineer information

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

As of Jun 1, 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 are the key skills and qualifications needed to thrive as an Entry Level Generative AI Engineer, and why are they important?

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 are entry level generative AI engineers?

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 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.

More about Entry Level Generative Ai Engineer jobs
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Entry Level Generative Ai Engineer jobs near you
Gen AI Engineer

Gen AI Engineer

Arohak Inc

Raritan, NJ

Other

Posted 12 days ago

Job description

Job Summary: We are seeking a talented Generative AI Engineer to design, develop, and deploy cutting-edge generative AI solutions. You will work on Large Language Models (LLMs), prompt engineering, and AI-powered applications to drive innovation and business value.
Key Responsibilities:
Design and develop generative AI applications using LLMs (GPT, Claude, Gemini, LLaMA)
Implement RAG (Retrieval-Augmented Generation) pipelines for knowledge-based AI systems
Fine-tune and optimize LLMs for specific use cases and domains
Build prompt engineering frameworks and templates for consistent AI outputs
Integrate AI models with APIs, databases, and enterprise applications
Develop vector databases and embedding strategies for semantic search
Implement guardrails, security measures, and bias mitigation techniques
Monitor model performance, latency, and cost optimization
Collaborate with data scientists, ML engineers, and product teams
Stay updated on latest Gen AI research, models, and best practices
Required Skills:
Strong programming skills in Python
Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini)
Knowledge of prompt engineering and chain-of-thought reasoning
Familiarity with LangChain, LlamaIndex, or similar frameworks
Understanding of RAG architecture and vector databases (Pinecone, Weaviate, ChromaDB)
Experience with embeddings and semantic search
Knowledge of transformer architecture and attention mechanisms
REST API development and integration
Git version control
Preferred Skills:
Experience with fine-tuning LLMs (LoRA, QLoRA)
Knowledge of AI safety, alignment, and responsible AI practices
Cloud platforms (AWS, Azure, Google Cloud Platform) for AI deployment
Docker and Kubernetes for containerization
MLOps and CI/CD pipelines
Experience with agent frameworks (AutoGPT, LangGraph)
Education:
Bachelor''s or Master''s in Computer Science, AI/ML, or related field.

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