AI Engineer

iQuasar LLC

. Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution .

Posted 10/16/2026full-timeRemote • United StatesJuniorMid-Level💰 $50 - $60 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying agentic AI systems, with a strong focus on LLM-based features, prompt engineering, and end-to-end AI/ML project implementation. Proficient in Python programming and evaluating AI/ML systems for accuracy and performance.

Highest-signal resume keywords

AI/ML Engineering ExperienceLLM Application DevelopmentPrompt EngineeringPython ProgrammingCloud AI Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML EngineeringMachine Learning Model DevelopmentPrompt Engineering TechniquesData PreparationModel DeploymentText SummarizationRetrieval-Augmented GenerationSQLClassificationNLP

Soft Skills

Excellent Communication SkillsAbility to Learn QuicklyProject Management

Tools & Technologies

ClaudeGPTGeminiLlamaIPython NotebooksCloud EnvironmentsLangGraphCrewAIStrandsAutoGen

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

Agentic AI SystemsMulti-Step Task ExecutionModel EvaluationAnomaly DetectionSentiment AnalysisEntity ExtractionTopic ModelingText CategorizationGrounding ChecksProduction Quality Monitoring

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

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 business needs through data preparation, model development, deployment, and monitoring
Develop LLM-based features including retrieval-augmented generation (RAG) with citations, text summarization, and embedding pipelines
Design and optimize prompts using prompt engineering techniques for LLMs
Use LLMs such as Claude, GPT, Gemini, and Llama via APIs or cloud AI platforms
Evaluate and test GenAI features using 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

Requirements

What you’ll need

US Citizens Only
Ability to obtain Public Trust clearance
Bachelor's/Master'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 with tool/function calling, planning or task decomposition, and multi-step execution, or strong working knowledge of LangGraph, CrewAI, Strands, or AutoGen
Working knowledge of prompt engineering, RAG, embeddings, and structured outputs
Experience in machine learning/artificial intelligence areas including classification, clustering, anomaly detection, sentiment analysis, NLP, text categorization, topic modeling, entity extraction, or text summarization
Ability to evaluate AI/ML system design, model selection, tradeoffs, and deployment considerations
Experience evaluating AI/ML systems, testing, measuring accuracy, and detecting hallucinations
Python and iPython notebooks programming experience
Good SQL skills
Excellent communication skills with technical and business users
Ability to learn new tools and paradigms quickly
Ability to work on multiple projects, meet deadlines, and manage expectations

Benefits

Comp & perks

Equal Opportunity Employer and inclusive hiring practices
Partnership with the Military Spouse Employment Partnership (MSEP)
Participation in the Virginia Values Veterans (V3) Program