AI Engineer

iQuasar, LLC; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

iQuasar LLC is hiring a remote AI Engineer to develop generative AI, agentic systems, ML, LLMs, and prompt engineering for a federal client. You will design, build, deploy scalable solutions in cloud environments using large and text-based data.

The role requires 2+ years of hands-on AI/ML engineering, experience with agentic AI systems or related frameworks, strong Python/SQL skills, and excellent communication. U.S. citizenship and ability to obtain Public Trust are required.

Qualifications

• Bachelor's or master's degree in CS, data science, engineering or mathematics.
• 2+ years hands-on AI/ML engineering experience with LLM applications.
• Experience with agentic AI systems or knowledge of LangGraph, CrewAI, Strands, or AutoGen.
• Knowledge of the modern LLM stack: prompt engineering, RAG, embeddings, structured outputs.
• Experience in ML/AI areas such as classification, clustering, NLP tasks.
• Ability to reason about AI/ML system design and deployment considerations.
• Experience evaluating AI/ML systems: testing, accuracy, and hallucination checks.
• Python and SQL programming; familiarity with IPython notebooks.
• Excellent communication with technical and business users.
• Ability to learn new tools and deploy cutting-edge solutions.
• Ability to manage multiple projects and meet deadlines.

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) 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

Skills

AI/ML engineering

Agentic AI systems

Prompt engineering

LLMs

Python

Communication

Education

Bachelor's or Master's degree in CS/Data Science/Engineering/Math

Tools

Python

SQL

IPython notebooks

LangGraph

AutoGen

Job description

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.