AI Engineer

IQUASAR LLC; Oregon; Híbrido; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

iQuasar LLC is hiring a 100% remote AI Engineer to design, deploy, and monitor agentic AI systems for a federal client. You will work on end-to-end GenAI projects and integrate LLMs via APIs in cloud environments.

The role requires 2+ years in AI/ML engineering, experience with agent architectures, Python and SQL, and strong communication skills to guide business decisions and collaborate with cross-functional teams.

Formación

• Bachelor's or Master's degree in CS, Data Science, Engineering, or Mathematics.
• 2+ years of hands-on AI/ML engineering experience, incl. demonstrable LLM work.
• Experience building agentic AI systems or knowledge of agent architectures/frameworks such as LangGraph, CrewAI, Strands, or AutoGen.
• Working knowledge of the modern LLM stack: prompt engineering, RAG, embeddings, and structured outputs.
• Experience in ML/NLP areas like classification, clustering, anomaly detection, topic modeling, and text summarization.

Responsabilidades

• 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

Conocimientos

Python programming

LLM concepts

SQL

Communication

Critical thinking

Educación

Bachelor's or Master's in CS/Data Science/Engineering/Mathematics

Herramientas

LangGraph

CrewAI

Strands

AutoGen

Descripción del empleo

iQuasar LLC is hiring for a 100% remote AI Engineer with one of our federal clients. Please find the details below:

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.