AI Engineer

IQUASAR LLC

8d • $50 - $60 • Remote

About The Position

iQuasar LLC is hiring a full-time, 100% remote AI Engineer to work with a federal client. The engineer will develop and deploy solutions using generative AI, agentic systems, machine learning, large language models, and prompt engineering. The role involves building scalable solutions in distributed and cloud environments and using large and text-based datasets to address complex challenges and drive innovation. Applicants must be U.S. citizens and able to obtain Public Trust.

Requirements

• Bachelor’s or master’s degree in computer science, data science, engineering, or mathematics.
• At least 2 years of hands-on AI/ML engineering experience, including demonstrable LLM application work.
• Experience building agentic AI systems with tool/function calling, planning or task decomposition, and multi-step execution, or strong working knowledge of agent architectures and frameworks such as LangGraph, CrewAI, Strands, or AutoGen.
• Working knowledge of the modern LLM stack, including prompt engineering, RAG, embeddings, and structured outputs.
• Experience in one or more machine learning or artificial intelligence areas, such as classification, clustering, anomaly detection, sentiment analysis, or NLP tasks such as 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.
• Experience evaluating AI/ML systems, including testing, measuring accuracy, and catching hallucinations.
• Programming experience using Python and iPython notebooks, and good SQL skills.
• Excellent communication skills for communicating with technical and business users.
• Ability to quickly learn new tools and paradigms to deploy cutting-edge solutions.
• Ability to work on multiple projects simultaneously, meet deadlines, and manage expectations.
• Must be a U.S. citizen and able to obtain Public Trust.

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 generative AI projects, from understanding business needs through data preparation, model development, deployment, and monitoring.
• Develop LLM-based features, including retrieval-augmented generation with citations, text summarization, and embedding pipelines.
• Design and optimize prompts using prompt-engineering techniques to achieve desired LLM outcomes.
• Use LLMs such as Claude, GPT, Gemini, and Llama through APIs or cloud AI platforms to develop task-specific solutions.
• Evaluate and test generative AI features by building test sets, checking grounding and citations, scoring with LLM-as-judge methods, and monitoring production quality.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level