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Entry Level Llm Developer Jobs in Washington (NOW HIRING)

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

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 · Hybrid

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 · 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 Developer information

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.

What are entry level LLM developers?

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 are the key skills and qualifications needed to thrive as an Entry Level LLM Developer, and why are they important?

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 are typical projects and daily tasks for an Entry Level LLM Developer?

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.
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Entry Level Llm Developer jobs near you
Junior AI Engineer

Junior AI Engineer

Targeted Victory

Arlington, VA • Hybrid

Other

Re-posted 10 days ago

Job description

About Us

Targeted Victory is a full-service marketing agency providing optimized outcomes in the digital age. We are made up of fresh thinking, curious minded, supportive, and team oriented individuals. Our clients, including national political and international decision makers, count on our team of top strategists to provide comprehensive solutions and strategic counsel on public affairs, advertising, media planning, fundraising and reputation management.

We have collectively raised our clients more than $1.95 billion in online fundraising, managed over $395 million in digital advertising, delivered over 24 billion emails and 7.5 billion text messages, and have sold and fulfilled over 3.5 million units of merchandise.

Targeted Victory is the proud recipient of the Washington Post Top Workplaces for 2025, 2023, and 2022, Reed Award for Best Employer in 2022, and the Campaign Tech Award for Best Employer in 2021.

Overview

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex problems, are creative thinkers, and thrive in a flat hierarchy. This position is based in Arlington, VA and will report to one of the team's experienced AI engineers, with direct mentorship from the company's tech leadership.

Responsibilities
  • Implement, maintain, and optimize core data pipelines
  • Identify new opportunities to use AI/ML technology to improve client fundraising and internal company efficiency
  • Become proficient in Targeted Victory's data systems and workflows
  • Work across teams to track performance, test strategies, and provide strategic insights that aid informed decision making and grow the company's analytical reach
  • Work on critical AI and non-AI ad hoc data projects as necessary
  • Handle multiple projects at once while meeting deadlines and performance expectations
  • Think outside the box and experiment with new approaches to political and fundraising data
Qualifications
  • Bachelor's degree preferred
  • 1-2+ years of relevant experience, including but not limited to: AI/ML development, computer science, data science, statistics
  • Proficient in SQL and Python
  • Familiarity with Snowflake, Databricks, LLM-based app development, RAG, multi-model routing, CI/CD pipelines, and/or building agentic workflows is a plus
  • Team player with a no-task-too small approach to the role
  • Willing to learn new skills
  • High attention to detail and organization 
  • Self-starter with a proactive, collaborative work ethic
  • Able to thrive in a fast-paced environment
  • Exhibits professionalism, particularly in executive and external communications
Employment Type: OTHER

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