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Software Engineer

  • Permanent
  • $180,000 - $250,000
  • Remote, United States
  • Engineering & Cloud, Data Infrastructure & MLOps
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Now Hiring: Cloud & Data Engineers for Elite AI Startup (Fully Remote, US-Based)

People in AI is hiring on behalf of a cutting-edge, profitable AI startup with fewer than 25 engineers and a valuation nearing $1B. Backed by significant funding and rapid traction, this company is building next-gen infrastructure to support advanced ML and data products. We're helping them grow their engineering team with 2–3 foundational hires across infrastructure and data.

Roles Available:

  1. Cloud Engineer

  2. Data Engineer
    (We’re also open to candidates who bring a strong blend of both skill sets.)


Why This Role Stands Out:

  • Build from scratch: design and deploy infrastructure and data platforms end-to-end

  • Shape key engineering systems that support ML, personalization, and large-scale analytics

  • Work autonomously in a lean, world-class engineering team

  • High-growth startup with clear product-market fit and strong compensation upside


What We're Looking For:

1. Cloud Engineer Profile:

  • Strong software-first mindset with backend fundamentals

  • Hands-on experience designing and managing cloud infrastructure (Azure preferred)

  • Familiarity with Terraform, CI/CD (GitHub Actions, CircleCI, Jenkins), Kubernetes

  • Comfortable with secure credential management, cloud security best practices, and system reliability

  • Python proficiency preferred

2. Data Engineer Profile:

  • Expertise in building and orchestrating large-scale data pipelines

  • Experience with tools like Spark, Databricks, Airflow, or Temporal

  • Strong understanding of ETL, streaming data systems, and real-time vs. batch processing

  • Ability to collaborate closely with ML engineers and translate data into production-grade pipelines


Ideal Candidate Qualities:

  • Scrappy, autonomous, and comfortable owning critical systems independently

  • Comfortable operating in a lean, fast-paced, startup environment

  • Able to clearly articulate technical impact, ownership, and outcomes

  • Bonus: experience working across both startups and larger tech companies

  • Excited by opportunities to shape infrastructure, design systems, and work directly with ML teams


Compensation & Perks:

  • Base salary: $225K+

  • Significant equity with real upside in a fast-growing, high-valuation company

  • Fully remote (US only) with optional access to premium office spaces (e.g., SF, NYC)

If you’re a backend-leaning engineer with infrastructure or data chops looking to join a world-class AI startup—we want to hear from you.

Apply through People in AI or reach out directly for more details.

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