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Entry Level Llm Engineer Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 ...

Entry Level Llm Engineer information

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

To thrive as an Entry Level LLM Engineer, you need a solid background in computer science, programming (especially Python), and basic machine learning concepts, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), experience with LLM APIs (such as OpenAI or Hugging Face), and understanding version control systems (like Git) are typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate and adapt in dynamic teams. These competencies are crucial for building, fine-tuning, and deploying large language models that meet project goals and industry standards.

What is an Entry Level LLM Engineer?

An Entry Level LLM (Large Language Model) Engineer is a professional who works on developing, fine-tuning, and deploying AI models that process and generate human language, such as GPT or similar neural network-based systems. They typically work with machine learning frameworks, data preprocessing, and model evaluation under the guidance of more experienced engineers. Entry level LLM Engineers are often responsible for implementing basic model architectures, running experiments, and analyzing model performance. They usually have a background in computer science, machine learning, or related fields, and are familiar with programming languages like Python.

What are some common challenges faced by Entry Level LLM Engineers when working on real-world language model applications?

Entry Level LLM Engineers often encounter challenges such as adapting large language models to specific business requirements, managing computational resources efficiently, and debugging complex model outputs. Collaborating with data scientists and software engineers is key, as projects typically require integrating models into broader systems. Additionally, staying updated with rapid advancements in the field and learning to work with large datasets are ongoing aspects of the role. Supportive team structures and mentorship can help new engineers overcome these hurdles and accelerate their growth.
What are the most commonly searched types of Llm Engineer jobs in Washington? The most popular types of Llm Engineer jobs in Washington are:
What are popular job titles related to Entry Level Llm Engineer jobs in Washington? For Entry Level Llm Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Llm Engineer jobs in Washington look for? The top searched job categories for Entry Level Llm Engineer jobs in Washington are:
What cities in Washington are hiring for Entry Level Llm Engineer jobs? Cities in Washington with the most Entry Level Llm Engineer job openings:
Infographic showing various Entry Level Llm Engineer job openings in Washington as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Junior AI Engineer

Targeted Victory

Arlington, VA • Hybrid

Full-time

Re-posted 19 days ago


Job description

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.



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.


  • 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

  • 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