iQuasar LLC is hiring for a 100% remote AI Engineer with one of our federal clients. Please find the details below:
We're 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'll design, build, and deploy scalable solutions in distributed and cloud environments, leveraging large and text-based datasets to solve complex challenges and drive innovation.
Position: AI Engineer
Location: Remote
Position Type: Full-Time
Clearance : US Citizens Only (Ability 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 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
Job Requirements:
Bachelor's/Master's degree in CS, Data Science, Engineering, or Mathematics field
2+ years of hands-on AI/ML engineering experience, including demonstrable LLM application work
Experience building agentic AI systems (agents 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: prompt engineering, RAG, embeddings, and structured outputs
Experience in one or more areas of machine learning / artificial intelligence such as classification, clustering, anomaly detection, sentiment analysis, and NLP problems such as text categorization, topic modeling, entity extraction, and text summarization
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
Programming experience using Python and iPython notebooks; good SQL skills
Excellent communication skills to communicate with wide technical and business users
Demonstrate ability to quickly learn new tools and paradigms to deploy cutting edge solutions
Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations
iQuasar LLC is a proud partner of the Military Spouse Employment Partnership (MSEP) and the Virginia Values Veterans (V3) Program, reflecting our strong commitment to supporting military spouses, veterans, and inclusive hiring practices. We are an Equal Opportunity Employer and do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental/veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, non-merit factors, or any other characteristics protected by applicable law.
This is a remote position.