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Entry Level Llm Engineer Jobs in Washington (NOW HIRING)

AI Automation Engineer

Washington, DC · Remote

$80K - $145K/yr

About the Role Caplock Security is seeking an entry-level AI Automation Engineer to help design and ... Support the evaluation and implementation of AI solutions (including LLM-based tools like Claude ...

New

AI Automation Engineer

Washington, DC · Remote

$80K - $145K/yr

About the Role Caplock Security is seeking an entry-level AI Automation Engineer to help design and ... Support the evaluation and implementation of AI solutions (including LLM-based tools like Claude ...

New

AI Automation Engineer

Washington, DC · Remote

$80K - $145K/yr

About the Role Caplock Security is seeking an entry-level AI Automation Engineer to help design and ... Support the evaluation and implementation of AI solutions (including LLM-based tools like Claude ...

New

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 ...

Associate Solutions Architect

Arlington, VA · Remote

$72.50 - $95.50/hr

You'll work alongside architects, engineers, technical leads, and customer stakeholders to support ... This is an entry-level opportunity for a recent graduate or early-career professional who wants to ...

New

Receive mentorship from diverse professionals in science engineering and consulting applying ... Experience with NLP/LLM/GenAI is a plus * Experience using machine-learning/data science libraries ...

Receive mentorship from diverse professionals in science engineering and consulting applying ... Experience with NLP/LLM/GenAI is a plus * Experience using machine-learning/data science libraries ...

Entry Level Llm Engineer information

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 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 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 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 August 2026, with employment types broken down into 88% Full Time, 2% Part Time, 2% Temporary, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

AI Automation Engineer

Caplock Security LLC

Washington, DC • Remote

$80K - $145K/yr

Full-time

Posted yesterday

New


Job description

AI Automation Engineer
Caplock Security | Remote | Full-Time

Do you have what it takes to build the systems that help us win the mission?
Every proposal Caplock submits runs on people doing repetitive work that technology should be doing for them. We're looking for someone early in their career who's ready to dig in and build the AI and automation tools that make our Proposal and Business Development team faster, sharper, and more competitive on every pursuit.
About the Role

Caplock Security is seeking an entry-level AI Automation Engineer to help design and implement AI-driven tools and automated workflows across our Proposal and Business Development function. This is a great fit for someone recently out of school with a strong technical foundation and genuine curiosity about AI and automation — you don't need years of experience, you need the drive to learn our proposal process, spot what's worth automating, and build real solutions with guidance from the team. Over time, you'll grow into owning more of this function independently as you build federal proposal domain knowledge alongside your technical skills.
What You'll Do

  • Help design, build, and maintain AI-powered tools and automated workflows that support the proposal lifecycle, including RFP/RFI/RFQ analysis, compliance matrix generation, and past performance and resume retrieval
  • Support the evaluation and implementation of AI solutions (including LLM-based tools like Claude) to accelerate proposal drafting, content reuse, and knowledge base search across Proposal and Business Development teams
  • Build integrations and automations connecting existing platforms — SharePoint, Notion, CRM/pipeline tools — to reduce manual data entry and duplicate work
  • Work closely with Proposal and Business Development team and leadership to learn the proposal process, identify high-friction tasks, and help translate them into automation or AI-assisted workflows
  • Help maintain and improve a structured proposal content library and knowledge base architecture that AI tools can reliably draw from
  • Test and document new tools under guidance to ensure outputs are accurate, compliant with Section L/M requirements, and safe for use in live pursuits
  • Support Proposal and Business Development staff in adopting new AI and automation tools, including basic troubleshooting
  • Stay current on the AI/automation landscape and bring forward new tools or techniques worth exploring
  • Learn and apply company data security and CMMC-aligned practices, particularly where proposal content includes sensitive or controlled information
Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (recent graduates encouraged to apply)
  • Coursework or project experience with at least one programming or scripting language (Python preferred)
  • Some exposure to AI/ML concepts, LLM tools (e.g., Claude, OpenAI), or automation platforms through coursework, internships, or personal projects
  • Strong problem-solving skills and eagerness to learn new tools, processes, and a new industry (federal contracting)
  • Proficiency with Microsoft 365 (SharePoint, Word, Excel, Teams)
  • Must pass a background check and drug screening
  • U.S. citizenship required (or ability to obtain, depending on contract requirements)
Preferred Qualifications

  • Internship, co-op, or academic project experience involving automation, AI/ML, or workflow tools
  • Familiarity with automation platforms (e.g., Power Automate, Zapier) or API integrations
  • Exposure to federal contracting, proposal development, or business development through coursework or internship
  • Familiarity with Notion or SharePoint document/knowledge base structures
Key Skills

  • Genuine curiosity about AI and automation
  • Willingness to ask questions, take feedback, and grow into unfamiliar territory (federal proposals) quickly
  • Clear communicator who can explain technical ideas to non-technical Proposal and Business Development staff
  • Detail-oriented, with an eye toward why accuracy and compliance matter more in federal proposals than in most environments
  • Self-starter mindset