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Posted 6 months ago

AI Engineer - Remote

@ Huzzle

Remote in Canada

RemoteFull-time2+ years experience
Apply now
SIGNALS

Overview

Huzzle is hiring a remote AI Engineer with at least 2 years of hands-on experience building, deploying and optimizing AI and machine learning solutions. The work involves designing models, working with LLMs, and integrating AI into production systems alongside product and engineering teams. The posting is full-time, though the engagement is listed as independent contractor, and it offers competitive salary and a fully remote environment.

Responsibilities:

  • Design, build and deploy AI/ML models for real-world applications
  • Work with large language models such as GPT and Claude
  • Build AI pipelines for data processing, training, inference and monitoring
  • Integrate AI services into web applications and SaaS platforms
  • Fine-tune and evaluate models for performance and scalability

Requirements summary:

  • At least 2 years as an AI or machine learning engineer
  • Strong Python and AI/ML library experience
  • Experience with LLMs, generative AI and RAG
  • Cloud deployment on AWS, Azure or Google Cloud
  • Docker, Git and CI/CD workflows

Tools & skills

Source and dates

Employer career site / ATS feed · workable

Employer posting date
2026-05-14
First seen by our source
2026-10-09
Source record updated
2026-10-09

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentSoftware development
Experience2+ years
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (preferred)
Fields of studyComputer Science, AI, Data Science
Perks mentionedFlexible hours

Summary and details written by AI from the posting; the employer’s posting is the authority.

Huzzle

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Huzzle connects world-class talent with AI labs, startups, and enterprises.

Full company description

Huzzle connects world-class experts with AI labs, startups, and enterprises. We use our AI recruiter to source, multi-stage vet, and train large volumes of talent while maintaining consistently high quality. Huzzle Labs (labs.huzzle.com) is a dedicated team of researchers & engineers delivering PhD-level human data and RL environment projects to AI labs by leveraging the expert pool and AI recruiter of Huzzle.com.

LinkedIn followers
206,523
People associated on LinkedIn
99
Reported office locations
  • London, W1W7LT, GB
  • Berlin, 10115, DE
  • San Francisco, 94109, US
Business categories
  • Compliance
  • Human Resources
  • Employment
  • Apps
  • Communities
  • B2C
  • Recruiting
  • Enterprise Software
  • Marketplace
  • SaaS
  • B2B
  • Artificial Intelligence (AI)
  • Career Planning
Other recorded names
  • Huzzle
  • Huzzle.com
Specialties
  • Talent Acquisition
  • AI Recruiter
  • Human Data
  • RL Environments
  • Evals
  • RLHF
  • and SFT
Profile identifies a recruitment agency
Yes
Reported total investment
2,056,216

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Huzzle connects world-class experts with AI labs, startups, and enterprises. We use our AI recruiter to source, multi-stage vet, and train large volumes of talent while maintaining consistently high quality. Huzzle Labs (labs.huzzle.com) is a dedicated team of researchers & engineers delivering PhD-level human data and RL environment projects to AI labs by leveraging the expert pool and AI recruiter of Huzzle.com.

FieldValue
IndustrySoftware Development
Company size51-200 employees
HeadquartersLondon
Organization typePrivately Held
SpecialtiesTalent AcquisitionAI RecruiterHuman DataRL EnvironmentsEvalsRLHFand SFT
Open jobs on Jobsy37
LinkedInView page
Job description

About Huzzle

At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.

Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.

Role Type: Full-time

Engagement: Independent Contractor

Job Summary

We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives.

This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment.

Key Responsibilities

  • Design, build, and deploy AI/ML models for real-world applications.
  • Develop and optimize AI-powered features using modern frameworks and APIs.
  • Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives.
  • Build AI pipelines for data processing, training, inference, and monitoring.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.
  • Integrate AI services into web applications, SaaS platforms, and internal tools.
  • Fine-tune and evaluate machine learning models for performance and scalability.
  • Maintain documentation and ensure AI systems follow security and compliance best practices.
  • Stay updated with the latest advancements in AI, machine learning, and automation technologies.

Requirements

  • 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
  • Experience working with LLMs, generative AI, prompt engineering, or AI agents.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
  • Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud.
  • Understanding of APIs, microservices, and backend development.
  • Experience with Docker, Git, and CI/CD workflows.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work remotely with global teams.
  • Bachelor’s degree in Computer Science, AI, Data Science, or related field preferred.
  • Experience with AI automation tools and agent frameworks.
  • Knowledge of MLOps and model monitoring tools.
  • Familiarity with NLP, computer vision, or recommendation systems.
  • Experience building AI SaaS products or chatbots.
  • Exposure to FastAPI, Node.js, or React-based applications.

Benefits

💰 Competitive salary based on experience and location

🌎 Fully remote role with flexible work environment

🚀 Work on cutting-edge AI automation projects with real business impact

📈 Strong growth opportunity into senior AI / systems roles

🧠 Exposure to LLMs, prompt engineering, and scalable AI system design

🤝 Direct collaboration with a fast-moving, high-performance team

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