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Generative Ai Junior Jobs (NOW HIRING)

ClinDCast LLC

AI Engineer

Warren, NJ · On-site

AI/ML Engineer - Generative AI & LLM Job Summary We are seeking a skilled AI/ML Engineer with ... Mentor junior team members and contribute to best practices in AI engineering. Flexible work from ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ... Coach and mentor junior team members. * Design, develop, and deploy AI-powered solutions to address ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

... junior engineers on specific problems as you deliver measurable business value. How you will do it Generative AI Systems & Applications * Develop and deploy Generative AI systems and LLM-powered ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

... junior engineers on specific problems as you deliver measurable business value. How you will do it Generative AI Systems & Applications * Develop and deploy Generative AI systems and LLM-powered ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt ...

Icwgroup

Applied AI Engineer

San Diego, CA

Implement end-to-end generative AI solutions, including model fine-tuning, deployment, and testing ... junior engineers. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt ...

ICW Group

Applied AI Engineer

San Diego, CA · On-site

Implement end-to-end generative AI solutions, including model fine-tuning, deployment, and testing ... junior engineers. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or ...

Icwgroup

Applied AI Engineer

San Diego, CA · On-site

Implement end-to-end generative AI solutions, including model fine-tuning, deployment, and testing ... junior engineers. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or ...

Jobtailor

NY · On-site

$150 - $190/hr

Act as a mentor for junior engineers Requirements * At least 6+ years of progressive experience in software engineering and AI/ML development * A minimum of 5 years specifically focused on Generative ...

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Generative Ai Junior information

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$47

How much do generative ai junior jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for generative ai junior in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What does a generative AI junior do?

A Generative AI Junior assists in developing and implementing artificial intelligence models, particularly those focused on generating content such as text, images, or music. They typically support senior engineers or data scientists by preparing datasets, running experiments, and evaluating model outputs. Their role may also include troubleshooting issues, optimizing model performance, and staying updated with the latest advancements in AI. This position is ideal for individuals starting their careers in AI and interested in hands-on experience with generative models.

What are some common challenges faced by a generative AI junior, and how can they be overcome?

As a Generative AI Junior, you may encounter challenges such as staying updated with rapidly evolving AI technologies, understanding complex machine learning frameworks, and managing the quality of generated outputs. Overcoming these hurdles often involves continuous learning through online courses and mentorship, actively participating in code reviews, and collaborating closely with senior AI engineers and data scientists. Building a habit of documenting your experiments and results can also help you track progress and learn from setbacks.

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

To thrive as a Generative AI Junior, you need a solid understanding of machine learning fundamentals, basic programming skills (especially in Python), and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, and experience using version control systems such as Git, are typically expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork are crucial soft skills in this role. These competencies are vital for effectively supporting AI projects, adapting to rapidly evolving technologies, and collaborating within multidisciplinary teams.

What is the difference between Generative Ai Junior vs Data Scientist?

AspectGenerative Ai JuniorData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic understanding of MLBachelor's or higher in CS, Data Science, or related; advanced ML knowledge
Work EnvironmentTech companies, AI startups, R&D teamsData-driven organizations, tech firms, consulting
Employer & Industry UsageAI development, research projects, product teamsData analysis, predictive modeling, business insights

Generative Ai Junior roles focus on assisting in developing AI models that generate content, requiring foundational AI knowledge. Data Scientists analyze data and build models for insights. While both work in AI and data fields, Generative Ai Juniors typically have less experience and focus on generative models, whereas Data Scientists handle broader data analysis and modeling tasks.

More about Generative Ai Junior jobs
What cities are hiring for Generative Ai Junior jobs? Cities with the most Generative Ai Junior job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Generative Ai Junior jobs? States with the most job openings for Generative Ai Junior jobs include:
What job categories do people searching Generative Ai Junior jobs look for? The top searched job categories for Generative Ai Junior jobs are:
Generative Ai Junior jobs near you
Infographic showing various Generative Ai Junior job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $56,068 per year, or $27 per hour.

AI Engineer

ClinDCast LLC

Warren, NJ • On-site

Full-time

Re-posted 6 days ago

Job description

Job Title: AI/ML Engineer – Generative AI & LLM

Job Summary

We are seeking a skilled AI/ML Engineer with expertise in Generative AI, Large Language Models (LLMs), and agent-based systems. The ideal candidate will design, develop, and deploy scalable AI solutions, leveraging modern frameworks and cloud-based MLOps practices to deliver production-grade systems. This role involves close collaboration with cross-functional teams to translate business requirements into intelligent, reliable AI applications.
Key Responsibilities

Generative AI & LLM Development

  •  Design, fine-tune, and deploy LLM-based solutions for enterprise use cases such as document intelligence, summarization, and conversational AI. 
  •  Build Retrieval-Augmented Generation (RAG) pipelines using vector databases to enhance response accuracy and contextual grounding. 
  •  Develop prompt engineering strategies and evaluation frameworks to ensure output quality, consistency, and safety. 
  •  Integrate LLMs with enterprise systems using frameworks like LangChain, LlamaIndex, or similar tools. 
  •  Evaluate and benchmark different foundation models to select optimal solutions for business needs. 
AI Agents & Intelligent Automation

  •  Architect and implement AI agents capable of multi-step reasoning and task execution. 
  •  Develop agentic workflows using modern design patterns for complex, multi-turn interactions. 
  •  Implement human-in-the-loop mechanisms to ensure compliance, reliability, and risk control. 
  •  Integrate AI agents with APIs, enterprise platforms, and orchestration tools. 
  •  Establish guardrails, monitoring, and audit logging for responsible AI usage. 
MLOps & Deployment

  •  Build and maintain end-to-end MLOps pipelines including training, validation, deployment, and monitoring. 
  •  Implement CI/CD pipelines for machine learning models to enable continuous delivery. 
  •  Deploy models as scalable APIs or batch services using cloud-native platforms. 
  •  Monitor model performance for drift, degradation, and anomalies in production. 
  •  Maintain model governance, versioning, and lineage tracking for auditability. 
Collaboration & Delivery

  •  Work with business stakeholders to translate requirements into AI-driven solutions. 
  •  Participate in Agile/Scrum development processes and contribute to sprint deliverables. 
  •  Create technical documentation including solution designs, APIs, and operational guides. 
  •  Mentor junior team members and contribute to best practices in AI engineering.

Flexible work from home options available.

ClinDCast logo

About ClinDCast

Sourced by ZipRecruiter

ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy. With 15+ Years Of Healthcare IT Industry Experience, ClinDCast Is A Trusted Partner For Payers, Providers, And Lifesciences Organizations, Enabling Them To Deliver Exceptional Product And Solutions For Their Customers.

Industry

Health care and social assistance

Company size

11 - 50 Employees

Headquarters location

Wesley Chapel, FL, US

Social media

Twitter

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