Remote AI Engineer: GenAI, LLMs & Agentic Systems

IQUASAR LLC; Washington (District of Columbia); Remote; USD 120,000 - 190,000; Full time

Job summary

iQuasar LLC is hiring a remote AI Engineer to develop innovative GenAI solutions, leverage LLMs, and deploy models across cloud environments. The role focuses on agentic systems, RAG with citations, and multi-step task execution in distributed settings.

Requirements include a CS/DS/engineering/math degree and 2+ years of AI/ML experience with LLMs, plus strong Python and SQL skills. This is a full-time remote position with US public-trust eligibility.

Qualifications

• Bachelor's or Master’s in CS, Data Science, Engineering, or Mathematics.
• 2+ years of hands-on AI/ML engineering experience with LLMs.
• Experience with agentic AI systems or related architectures.
• Proficiency with Python and SQL.

Responsibilities

• Build and deploy agentic AI systems capable of autonomous decision-making and multitask execution.
• Lead end-to-end AI/ML/GenAI projects from data prep to deployment and monitoring.
• Develop LLM-based features like retrieval-augmented generation with citations.
• Design and optimize prompts for LLMs to meet outcomes.
• Use APIs or cloud platforms to work with LLMs (Claude, GPT, Gemini, Llama, etc.).
• Evaluate GenAI features with test sets, grounding, and production monitoring.
• Develop ML models in Python and deploy in distributed/cloud environments.
• Collaborate across teams to guide business decisions.

Skills

Agentic AI systems

LLM applications

Prompt engineering

Python

SQL

Education

Bachelor's/Master's degree in CS/DS/Engineering/Mathematics

Tools

LangGraph

CrewAI

Strands

AutoGen

Job description

iQuasar LLC is hiring a remote AI Engineer to develop innovative GenAI solutions, leverage LLMs, and deploy models across cloud environments. The role focuses on agentic systems, RAG with citations, and multi-step task execution in distributed settings.

Requirements include a CS/DS/engineering/math degree and 2+ years of AI/ML experience with LLMs, plus strong Python and SQL skills. This is a full-time remote position with US public-trust eligibility.