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USA_Artificial Intelligence Engineer

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: SQDM
Part Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Location: Bellevue, WA (Hybrid — 3 days/week) or Remote

Role Overview

We’re building a new product in the real estate tech space and are looking for a Senior AI Engineer to join our founding AI team. You’ll help turn generative AI ideas into production‑ready features
, architect and ship AI‑powered agents
, and influence the long‑term technical direction of our AI roadmap. You’ll work closely with our existing product stack (
Ruby on Rails + React
) and leverage AWS AI infrastructure to deliver scalable, secure, high‑performing systems.

Key Responsibilities AI Agent Development
  • Design, build, and maintain intelligent, autonomous, or conversational AI agents to automate workflows and improve user productivity.

  • Implement agentic patterns and orchestration for real‑world product use cases.

AI/ML System Development (End-to-End)
  • Architect, develop, and maintain scalable end-to-end AI systems and generative AI applications using AWS AI services and open‑source frameworks.

  • Own the AI lifecycle from concept and design through deployment, monitoring, and iteration.

Full-Stack Integration
  • Partner with backend (
    Ruby on Rails
    ) and frontend (
    React
    ) engineers to integrate AI‑driven capabilities into the core product experience.

  • Build APIs/services that support reliable AI features and excellent UX.

Data Pipeline Management
  • Develop and manage robust pipelines for ingestion, processing, and transformation of real estate datasets to support model training and inference.

  • Ensure data quality, lineage, and consistency across workflows.

Performance Monitoring & Optimization
  • Monitor and optimize deployed models, agents, and APIs for reliability, accuracy, latency, and cost efficiency
    .

  • Establish best practices for observability and performance tracking.

Collaboration & Technical Leadership
  • Collaborate closely with product, data, and engineering teams to define requirements, validate solutions, and champion AI best practices.

  • Contribute to coding standards, mentor peers, and help shape the long‑term AI technical roadmap.

Innovation & Applied Research
  • Evaluate and apply new technologies in LLMs
    , Retrieval‑Augmented Generation (RAG), and agentic AI to solve complex problems.

Qualifications (Required)
  • Bachelor’s or advanced degree in Computer Science, Data Science
    , or a related field.

  • 5+ years of experience in AI/ML or software engineering roles with exposure to production‑grade AI systems
    .

  • Proficiency in Python and familiarity with frameworks such as PyTorch, Tensor Flow, or Lang Chain (or equivalents).

  • Hands‑on experience deploying AI models/services in a cloud environment (
    AWS preferred
    ).

  • Strong understanding of data structures, algorithms, and distributed systems design
    .

  • Solid grasp of LLMs, Generative AI, and RAG methodologies.

  • Excellent collaboration skills and a track record of delivering results in cross‑functional teams.

Preferred (Nice to Have)
  • Experience integrating AI into web applications built on Ruby on Rails and React
    .

  • Familiarity with vector databases and embeddings (e.g.,
    Pinecone, FAISS, Weaviate
    ).

  • Exposure to MLOps tools and best practices (e.g.,
    Sage Maker, MLflow
    , CI/CD, model monitoring).

  • Interest in real estate or property technology (Prop Tech) applications.

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