Remote AI Engineer

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 agentic AI systems or strong working knowledge of agent architectures and frameworks.
• Experience in one or more areas of machine learning/artificial intelligence such as classification, clustering, anomaly detection, sentiment analysis, and NLP.

Technical Skills:

• Working knowledge of the modern LLM stack: prompt engineering, RAG, embeddings, and structured outputs.
• Programming experience using Python and iPython notebooks; good SQL skills.
• Ability to think critically about AI or ML system design, including model selection, tradeoffs, and real-world deployment considerations.
• Experience evaluating AI/ML systems: testing, measuring accuracy, and catching hallucinations.

Preferred Qualifications

• Experience with prompt engineering techniques such as few-shot learning, zero-shot learning, and chain-of-thought prompting.
• Experience with cloud platforms (AWS or Azure) and their AI/ML services.
• Experience in using deep learning frameworks such as PyTorch or Keras.
• Experience in MLOps to operationalize the model building process and monitor models in production.
• Familiarity with search and vector retrieval such as Elasticsearch, Solr, or vector databases.
• Familiarity with version control systems, specifically Git, and experience with platforms like Azure DevOps.
• Familiarity with Linux and cloud CLI tools.
• Experience creating interactive data visualizations and dashboards in Tableau, Power BI, or other tools.
• Experience with distributed NoSQL databases such as MongoDB, DynamoDB, etc.
• Ability to build full stack systems architected for speed and distributed computing.

PLEASE NOTE: Candidates must be able to obtain and/or maintain a Public Trust clearance as a condition and continuation of employment.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. *Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. By applying for this job, you agree to receive calls, AI-generated call…