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Entry Level Llm Developer Jobs (NOW HIRING)

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

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

Targeted Victory

Junior AI Engineer

Arlington, VA

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 ...

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 ...

Faros AI, Inc.

Forward Deployed Engineer

San Mateo, CA · On-site

$80 - $100/hr

This isn't a typical entry-level job. You'll own real work: building integrations, configuring ... AI-savviness : you already use AI coding assistants, LLM APIs, or AI-powered tools as part of how ...

New

Sunlight Financial

Data Analyst (27455)

Charlotte, NC · On-site

Senior Manager, Credit Risk Level: Entry Level (1-3 Years Experience) About Sunlight Financial ... In this role, you'll sit at the intersection of data engineering, business intelligence, and ...

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Entry Level Llm Developer information

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$32K

$94.1K

$161.5K

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

As of Aug 21, 2026, the average yearly pay for entry level llm developer in the United States is $94,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $101,500.00 per year, depending on experience, location, and employer.

What is an entry level LLM developer?

Entry level LLM (Large Language Model) developers are professionals who work with AI models like GPT, typically at the beginning of their careers. They may assist in training, fine-tuning, or integrating large language models into various applications, often under the supervision of more experienced engineers. Their work can involve coding, data preprocessing, prompt engineering, and testing model performance. Entry level LLM developers usually have foundational knowledge in programming (commonly Python), machine learning concepts, and an interest in natural language processing (NLP). Employers often look for candidates with relevant coursework, internships, or personal projects in AI.

What does an entry level LLM developer do?

As an Entry Level LLM Developer, you can expect to work on tasks such as fine-tuning language models, building data pipelines, and supporting senior engineers with model deployment and testing. Your daily responsibilities may include cleaning and preparing datasets, writing Python scripts, conducting model evaluations, and documenting your work. You'll often collaborate closely with data scientists, machine learning engineers, and product teams to ensure your models align with business goals. This role is a great opportunity to build foundational skills in natural language processing while gaining exposure to real-world applications of large language models.

What are the key skills and qualifications needed to thrive as an entry level LLM developer?

To thrive as an Entry Level LLM Developer, you need a solid background in computer science, programming (especially Python), and a foundational understanding of machine learning and natural language processing concepts. Familiarity with frameworks such as PyTorch or TensorFlow, experience using libraries like HuggingFace Transformers, and basic proficiency with cloud platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and adapt to evolving project needs. These skills and qualities ensure you can effectively contribute to LLM projects, deliver reliable code, and stay current in a fast-paced AI field.

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

AspectEntry Level Llm DeveloperEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related field; familiarity with machine learning and NLPBachelor's in Computer Science, Statistics, or related field; knowledge of programming and data analysis
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDevelops language models, NLP applicationsAnalyzes data, builds predictive models, interprets data trends

Entry Level Llm Developers focus on creating and fine-tuning language models using AI and NLP techniques, often working in tech and research environments. Entry Level Data Scientists analyze data sets to extract insights and build models, working across various industries. While both roles require programming skills and a background in data or AI, their core responsibilities differ: Llm Developers specialize in language models, whereas Data Scientists focus on data analysis and interpretation.

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Entry Level Llm Developer jobs near you
Infographic showing various Entry Level Llm Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $94,149 per year, or $45.3 per hour.

Entry-Level AI & Preconstruction Technology Coordinator

Butler Recruitment Group

Cleveland, OH • On-site

$45K - $60K/yr

Full-time

Posted 29 days ago

Job description

That is a crucial clarification, and it completely changes the strategy. In the $45,000 to $60,000 salary range, you cannot hire a software engineer to code custom machine learning algorithms from scratch-and for most regional construction firms, you don't actually need one. At this price point, we are shifting the target from an AI Software Architect to an Entry-Level AI Implementer & Data Coordinator. You are looking for a tech-savvy recent graduate or junior analyst-a "power user" who will take existing, off-the-shelf AI software (like Togal.AI, Document Crunch, Bluebeam AI, and advanced ChatGPT/Claude prompting) and do the digital legwork to make your estimating operations 5x faster. Here is how the expectations change at this budget, followed by a completely rewritten job description designed to attract hungry, ambitious entry-level tech talent in Cleveland. How the Strategy Changes for $45k-$60k Attribute Previous Strategy ($115k+) New Strategy ($45k-$60k)

Candidate Profile Experienced Data Scientist / ML Engineer Recent College Grad, Junior IT, or Tech-Savvy Career Changer

Technical Focus Coding custom AI models & RAG pipelines from scratch Mastering off-the-shelf AI construction tools & advanced prompting

Data Role Architecting vector databases and cloud pipelines Organizing Excel sheets, cleaning historical bids, & manual data entry/export

Daily Value Building proprietary software Doing digital heavy-lifting so senior estimators can focus on pricing

Job Title: Entry-Level AI & Preconstruction Technology Coordinator Location: Cleveland, OH (100% On-Site) Department: Executive / Preconstruction Reports To: President & Owner Employment Type: Full-Time Compensation: $45,000 - $60,000 (commensurate with skills and aptitude) About the Role We are looking for an ambitious, tech-savvy AI & Preconstruction Technology Coordinator to help us modernize our commercial construction estimating operations. No prior construction experience is required. If you are fascinated by artificial intelligence, data organization, and new software tools, we will teach you the business of commercial construction from the ground up. Working 100% on-site at our Cleveland headquarters, you will report directly to the President & Owner. This is an exceptional launchpad for a junior professional who wants to bypass corporate bureaucracy and work hand-in-hand with executive leadership. You will act as our internal "tech pilot"-learning, testing, and running cutting-edge AI construction software to help our estimating team automate quantity takeoffs, analyze project specifications, and organize decades of historical cost data. What You Will Do 1. Operate AI Estimating Software

  • Automate Takeoffs: Learn and operate industry-leading AI takeoff software (such as Togal.AI, Bluebeam Revu, or Kreo) to rapidly generate initial 2D measurements and square footage counts from architectural blueprints.
  • Specification Analysis: Use large language model (LLM) tools and specialized software (like Document Crunch or ChatGPT Enterprise) to scan massive 500-page project specification books, searching for key terms, risks, insurance requirements, and unusual exclusions.
  • Software Champion: Act as the internal go-to expert for all preconstruction software, troubleshooting day-to-day issues and helping traditional estimators utilize new digital tools. 2. Data Cleanup & Organization
  • Build Cost Spreadsheets: Take historical project bids, subcontractor quotes, and paper notes, and input them into clean, standardized Excel spreadsheets or internal databases.
  • Track Local Pricing: Maintain a running digital ledger of Northeast Ohio regional material costs, labor rates, and subcontractor pricing trends to help the team bid more accurately.
  • File Management: Organize digital blueprint files, addenda, and RFIs (Requests for Information) within our project management software (Procore, Autodesk Construction Cloud, or network drives) so the estimating team has instant access to clean data. 3. Direct Support to the Owner & Estimating Team
  • Shadow Senior Estimators: Sit alongside veteran construction professionals to learn how buildings are priced, assembled, and won in the competitive Cleveland market.
  • Process Improvement: Continuously look for simple ways to save time using technology-whether that means writing an Excel macro, creating a better email template for subcontractor outreach, or automating a reporting workflow. What You Bring to the Team Required Qualifications
  • Education: Associate's or Bachelor's degree in Business Administration, Information Technology, Data Analytics, Construction Management, or general studies (or equivalent self-taught technical aptitude / bootcamp completion).
  • Experience: 0-2 years of professional ex