Remote AI Engineer

Company: Apex Systems

Location: Washington, DC (Remote)

Salary: $93.6k - $108.2k per year

Type: Full-time

Remote: Yes

Posted: 2026-10-14

About this role

Job#: 3055878
Job Description:
*Candidates must be U.S. citizens able to obtain and/or maintain a Department of Defense security clearance as a condition and continuation of employment.*
Remote AI Engineer


Location:
100% Remote with quarterly travel to Washington, D.C.


Role Overview


We are seeking a talented AI Engineer to develop innovative solutions using generative AI, agentic systems, machine learning (ML), Large Language Models (LLMs), and prompt engineering. You will design, build, and deploy scalable solutions in distributed and cloud environments, leveraging large and text-based datasets to solve complex challenges and drive innovation.


Key Responsibilities

  • Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution.
  • Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment, and monitoring.
  • Develop LLM-based features such as retrieval-augmented generation (RAG) with citations, text summarization, and embedding pipelines.
  • Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes.
  • Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or cloud AI platforms to develop solutions for specific tasks.
  • Evaluate and test GenAI features, including building test sets, grounding and citation checks, LLM-as-judge scoring, and production quality monitoring.
  • Design, develop, and optimize machine learning models using Python.
  • Deploy and manage solutions in distributed and cloud environments.
  • Collaborate with cross-functional teams to guide business decisions.

Required Qualifications

  • Bachelor's/Master's degree in Computer Science, Data Science, Engineering, or a Mathematics field.
  • 2+ years of hands-on AI/ML engineering experience, including demonstrable LLM application work.
  • Experience building agenti...

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