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# AI Engineer

- **Company:** System One
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $87,048.0 - $109,928.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cluster Analysis, Computer Programming, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, Standard Sql, Sentiment Analysis, Large Language Models, Prompt Engineering, Model Validation, Topic Modeling, Build Management, AI Platforms, Text Summarization, Document Classification, GPT
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4d3c1231eaaae8e8

## About the Role

* Bachelor's degree in CS, Data Science, Engineering, or Mathematics
 * 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 such as LangGraph, CrewAI, Strands, or AutoGen
 * Working knowledge of the modern LLM stack: prompt engineering, RAG, embeddings, and structured outputs
 * Experience in areas of machine learning / AI such as classification, clustering, anomaly detection, sentiment analysis, and NLP problems like text categorization, topic modeling, entity extraction, and text summarization
 * Ability to think critically about AI/ML system design, including model selection, tradeoffs, and real-world deployment considerations
 * Programming experience using Python and iPython notebooks; good SQL skills
 * Excellent communication skills to engage with technical and business audiences
 * Ability to quickly learn new tools and paradigms to deploy cutting-edge solutions
 * Adept at managing multiple projects, meeting deadlines, and managing expectations

## Description

* 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: 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


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