For companies
  • Hire developers
  • Hire designers
  • Hire marketers
  • Hire product managers
  • Hire project managers
  • Hire assistants
  • How Arc works
  • How much can you save?
  • Case studies
  • Pricing
    • Remote dev salary explorer
    • Freelance developer rate explorer
    • Job description templates
    • Interview questions
    • Remote work FAQs
    • Team bonding playbooks
    • Employer blog
For talent
  • Overview
  • Remote jobs
  • Remote companies
    • Resume builder and guide
    • Talent career blog
Haystack
Haystack

Senior AI Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

AI
Machine Learning
Cloud
+22

Permanent role
2 days ago
Apply now

We're working with a leading talent solutions company that empowers organizations to achieve their goals by connecting them with top-tier professionals. They are at the forefront of innovation, dedicated to shaping the future of business through strategic talent acquisition and cutting-edge technology.

The Role

  • Design, develop, deploy, and support production-ready machine learning models for various business use cases.
  • Build and operationalize generative AI solutions, including retrieval-augmented generation, and explore emerging agentic AI approaches.
  • Develop and maintain end-to-end AI/ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring in cloud environments.
  • Integrate cloud-native and third-party AI services to improve delivery speed and business value.
  • Ensure AI solutions are secure, scalable, dependable, and cost-conscious.
  • Create reusable tools, frameworks, and best practices to support and accelerate AI development across teams.

What You'll Need

  • Strong experience designing and deploying AI/ML solutions in real-world environments.
  • Proficiency in Python and common ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Solid understanding of machine learning algorithms, deep learning concepts, and generative AI techniques.
  • Hands-on experience with cloud platforms and cloud AI services for scalable development and deployment.
  • Working knowledge of data engineering, SQL, and feature engineering.
  • Experience with ML Ops practices, including CI/CD, model monitoring, and version control.

What's On Offer

  • Opportunity to work on innovative machine learning, generative AI, and agentic AI solutions.
  • Collaborative and mission-driven environment focused on responsible AI practices.
  • Competitive compensation and benefits including medical, dental, vision, and retirement.

Apply via Haystack today!

About Haystack

🔗Website
Visit company profileIconOpenNewWindows

Unlock all Arc benefits!

  • Browse remote jobs in one place
  • Land interviews more quickly
  • Get hands-on recruiter support
PRODUCTS
Arc

The remote career platform for talent

Codementor

Find a mentor to help you in real time

LINKS
About usPricingArc Careers - Hiring Now!Remote Junior JobsRemote jobsCareer Success StoriesTalent Career BlogArc Newsletter
JOBS BY EXPERTISE
Remote Front End Developer JobsRemote Back End Developer JobsRemote Full Stack Developer JobsRemote Mobile Developer JobsRemote Data Scientist JobsRemote Game Developer JobsRemote Data Engineer JobsRemote Programming JobsRemote Design JobsRemote Marketing JobsRemote Product Manager JobsRemote Project Manager JobsRemote Administrative Support Jobs
JOBS BY TECH STACKS
Remote AWS Developer JobsRemote Java Developer JobsRemote Javascript Developer JobsRemote Python Developer JobsRemote React Developer JobsRemote Shopify Developer JobsRemote SQL Developer JobsRemote Unity Developer JobsRemote Wordpress Developer JobsRemote Web Development JobsRemote Motion Graphic JobsRemote SEO JobsRemote AI Jobs
© Copyright 2026 Arc
Cookie PolicyPrivacy PolicyTerms of Service