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Entry Level Llm Ai Jobs (NOW HIRING)

Sembix LLC

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AI Engineer (Entry-Level Remote)

Houston, TX · Remote

$60K - $75K/yr

You'll integrate LLM/AI APIs, build agent workflows, and deliver end-to-end solutions on AWS--starting with smaller features and growing into larger system ownership. If you've built side projects ...

United Smart Tech

AI Engineer (Entry-Level)

Carrollton, TX · On-site

$20 - $23/hr

AI Engineer (Entry-Level) -- Agents & Experimentation For more than 25 years, Asurion has led ... Familiarity with LLM APIs, prompt engineering, or agent frameworks * Exposure to cloud platforms or ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

Atlas Energy Solutions

AI Developer

Austin, TX · On-site

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

BRM.ai

Entry Level Software Engineer

San Francisco, CA · On-site

... buyer! Entry Level Software Engineer Why we need you We're at a pivotal moment with a roadmap ... Interest in or exposure to AI/LLM technologies * Open source contributions or personal projects ...

Crowe

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

... an entry-level engineering role. This role emphasizes learning and skill development while ... Beginning awareness of LLM concepts, including RAG workflows, vector databases, and fine-tuning ...

New

Crowe LLP

AI Engineering Intern

Chicago, IL

$27 - $42/hr

... an entry-level engineering role. This role emphasizes learning and skill development while ... Beginning awareness of LLM concepts, including RAG workflows, vector databases, and fine-tuning ...

Crowe LLP

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

... an entry-level engineering role. This role emphasizes learning and skill development while ... Beginning awareness of LLM concepts, including RAG workflows, vector databases, and fine-tuning ...

New

Crowe LLP

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

... an entry-level engineering role. This role emphasizes learning and skill development while ... Beginning awareness of LLM concepts, including RAG workflows, vector databases, and fine-tuning ...

Sia

Associate Consultant, Generative AI

Manhattan, NY · On-site

... entry level candidates to join as GenAI Consultants. You'll work at the intersection of cutting-edge AI and real business problems - helping clients across industries design, build, and deploy LLM ...

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... Familiarity with Snowflake, Databricks, LLM-based app development, RAG, multi-model routing, CI/CD ...

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Entry Level Llm Ai information

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How much do entry level llm ai jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level llm ai in the United States is $63,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $75,500.00 per year, depending on experience, location, and employer.

What does an entry level Llm AI professional do?

An Entry Level LLM AI professional typically works with large language models (LLMs) and artificial intelligence systems, assisting in tasks like data preparation, fine-tuning models, evaluating outputs, and supporting more senior AI engineers or data scientists. They may also help integrate AI solutions into applications, troubleshoot model issues, and contribute to research or development projects. This role is ideal for those who have foundational knowledge in machine learning, programming (often in Python), and an interest in natural language processing.

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

To thrive as an Entry Level LLM AI professional, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, often supported by a relevant degree. Familiarity with AI frameworks such as TensorFlow or PyTorch, version control systems, and experience using large language models (LLMs) are typically required. Strong analytical thinking, collaboration, and problem-solving skills help you stand out in this fast-paced, innovative field. These skills are essential for developing, fine-tuning, and deploying AI models that drive impactful real-world applications.

What types of projects can an entry level Llm AI professional expect to work on, and how are tasks typically assigned within a team?

As an Entry Level LLM AI professional, you can expect to contribute to projects such as fine-tuning language models, data preprocessing, evaluating model outputs, and developing simple applications using APIs. Tasks are often assigned based on your technical strengths and learning goals, under the guidance of senior engineers or research scientists. You'll likely collaborate closely with data scientists, software engineers, and product managers, participating in regular stand-ups and code reviews to ensure alignment and knowledge sharing. This collaborative environment supports skill development and provides exposure to various aspects of AI product development.

What is the difference between Entry Level Llm Ai vs Entry Level Data Scientist?

AspectEntry Level Llm AiEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; familiarity with machine learning and NLPBachelor's or Master's in Data Science, Statistics, or related fields; knowledge of programming and analytics
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageDeveloping AI models, NLP applications, machine learning toolsData analysis, predictive modeling, data visualization
Common Search/ComparisonYesYes

Entry Level Llm Ai roles focus on developing and fine-tuning AI language models, requiring knowledge of NLP and machine learning. Entry Level Data Scientist positions involve analyzing data, building predictive models, and deriving insights. While both roles require programming skills and a background in data or AI, they serve different functions within the tech industry.

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Entry Level Llm Ai jobs near you
Infographic showing various Entry Level Llm Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $63,444 per year, or $30.5 per hour.

AI Engineer (Entry-Level Remote)

Sembix LLC

Houston, TX • Remote

$60K - $75K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 28 days ago

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Job description

Overview

We're looking for an AI Engineer fresh out of school or early in your career who's excited to ship real AI-powered features. You'll integrate LLM/AI APIs, build agent workflows, and deliver end-to-end solutions on AWS—starting with smaller features and growing into larger system ownership. If you've built side projects, hackathon winners, or coursework that impresses, and you're ready to learn fast and own outcomes, let's talk.

About Sembix

Sembix is revolutionizing system modernization through AI-driven solutions. We leverage innovative AI technologies to transform and rewrite applications into modern, cloud-native systems. Our solutions help businesses unlock their full potential in the cloud, driving efficiency and innovation.

Responsibilities

  • Own small-to-medium features and components end-to-end—from design through production—with mentorship
  • Build AI-integrated software: wire up LLM/AI APIs, design simple agent workflows, and ship AI features with reliability and guardrails
  • Learn and apply cloud-native practices on AWS; work with compute, storage, and serverless services under guidance
  • Contribute across frontend, backend, or data layers; improve user experience and system performance
  • Collaborate with senior engineers, ask great questions, and absorb engineering standards and best practices
  • Connect your work to business outcomes—how does this feature help users, reduce costs, or improve experience?

Required Qualifications

  • Recent graduate or early-career engineer (0–2 years professional experience)
  • Shipped at least one project end-to-end: coursework, hackathon, side project, or internship work that you can talk through
  • Hands-on coding experience in Python, JavaScript, TypeScript, or similar (backend or full-stack preferred)
  • Familiarity with AI/LLM concepts: prompt engineering, API integration, or basic agentic workflows (LangChain, OpenAI API, or similar)
  • Comfort learning AWS basics and infrastructure-as-code concepts on the job
  • Strong curiosity and willingness to learn from senior engineers and feedback

Preferred Skills

  • Side projects or hackathons involving AI/LLM integration or chatbots
  • AWS hands-on experience (even free tier projects count)
  • Full-stack experience: built both frontend and backend components
  • Open source contributions or published code on GitHub
  • A portfolio or personal site showcasing your projects is a big plus
  • Experience with rapid prototyping and iteration
  • Familiarity with Git, CI/CD pipelines, or containerization basics

Success Profile

  • Eager learner: You ask great questions, absorb feedback, and grow fast
  • Builder mindset: You ship projects, even small ones, and take pride in quality
  • AI-curious: You're excited about LLMs and AI, and you experiment with new tools
  • Collaborative: You work well with senior engineers and thrive on mentorship
  • Outcome-focused: You think about how your code impacts users and the business
  • Owner in training: You take ownership of your features and drive them to completion

Compensation and Benefits

  • Base Salary: $60K to $75K
  • Incentive Compensation: Up to 20% of base salary, tied to feature delivery
  • 401(k) Match: 100% match up to 4% of base salary, fully vested immediately
  • Paid Time Off: 20 days per year
  • Medical: 100% employee coverage, 50% for family
  • Holidays: 10 paid holidays annually

Why Join Sembix

  • Be part of a mission-driven team shaping the future of education and public service
  • Work on high-impact projects that simplify operations and improve outcomes
  • Flexible, remote-friendly work culture with a focus on results
  • Competitive compensation and benefits
  • Opportunity to grow into leadership roles as we scale our impact

Equal Opportunity

Sembix is an Equal Opportunity Employer. We are committed to creating a diverse, inclusive, and respectful workplace where all employees and applicants are treated fairly. Employment decisions at Sembix are based on business needs, job requirements, qualifications, and merit. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, pregnancy, national origin, age, disability, genetic information, veteran status, marital status, or any other status protected by applicable federal, state, or local law. Sembix is committed to providing reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs, practices, or observances, unless doing so would create an undue hardship.

Company Description

Sembix is revolutionizing system modernization through AI-driven solutions. We leverage innovative AI technologies to transform and rewrite applications into modern, cloud-native systems. Our solutions help businesses unlock their full potential in the cloud, driving efficiency and innovation.