Metropolis

Senior AI Engineer

Metropolis · New York, New York, United States

Posted about 3 months ago

or apply directly on Metropolis's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Metropolis's roles stay open a median of 80 days
Reposted
No
Salary listed
No
5% of Metropolis's roles list one
Ghost-job risk at Metropolis
high
79 stale, 1 reposted of 80 open
Hiring momentum
123 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Metropolis's own greenhouse board since 2026-08-03. Full hiring picture for Metropolis.

About this role

As a Senior AI Engineer at Metropolis, you will work within the Applied AI team to develop AI-driven solutions that enhance business operations. Your role involves collaborating with various business units to identify automation opportunities, building and deploying AI applications, and ensuring the reliability and impact of these systems. You will also be responsible for managing stakeholder communications and integrating emerging AI tools to optimize operational efficiency.

Our read on this posting2.6out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Metropolis as an employer.

What you need

  • 6+ years of software engineering experience
  • 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
  • Exceptional communication and stakeholder management skills
  • Strong commercial and product-driven mindset
  • Strong Python skills to write clean, maintainable code and build APIs, data pipelines, and backend services
  • Practical experience with LLM APIs (OpenAI, Anthropic, or similar)

Nice to have

  • Previous experience in a Forward Deployed Engineering, Solutions Engineering, or highly client/business-facing technical role
  • Experience with vector databases, embeddings, or semantic search

What you get

  • Base salary range of $170,000.00 to $200,000.00 annually
  • Access to or eligibility for healthcare benefits
  • 401(k) plan
  • Short-term and long-term disability coverage
  • Basic life insurance
  • Lucrative stock option plan

Worth weighing

  • 4 days in office requirement may not suit all candidates
  • Role involves significant autonomy and managing competing priorities, which may be challenging for some
  • The stack includes legacy technologies like Java, which may not appeal to all candidates

Summarised from Metropolis's posting. Read the full original.

Listed by Metropolis on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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