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Scale AI

Forward Deployed Software Engineer, Public Sector

Scale AI · Austin, TX; Colorado Springs, CO; Honolulu, HI; St. Louis, MO; Washington, DC

Posted about 2 months ago

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

Is this posting real?

This role has been open
66 days
Scale AI's roles stay open a median of 66 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
192 stale, 5 reposted of 217 open
Hiring momentum
270 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

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

About this role

As a Forward Deployed Software Engineer on the Public Sector Engineering team, you will work closely with U.S. government customers to develop and implement AI applications that address critical missions. Your role involves embedding with clients to understand their needs, managing the entire software delivery process from prototype to production, and ensuring that solutions are robust and effectively integrated with customer environments. You will also serve as a technical liaison, guiding stakeholders and contributing to the product roadmap based on field feedback.

Our read on this posting2.4out of 5
benefits
3/5
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 Scale AI as an employer.

What you need

  • 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts.
  • Strong production coding in Python and TypeScript (or comparable modern languages).
  • Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals.
  • Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure.
  • An active TS/SCI clearance, or eligibility to obtain one.

Nice to have

  • Experience building or deploying systems powered by LLMs or generative models.
  • Familiarity with Node and React, Kubernetes and Docker, and Terraform.
  • Data engineering background covering ETL pipelines, data modeling, and data governance.

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential commuter stipend
  • Equity-based compensation subject to approval.

Worth weighing

  • Significant on-site customer presence required, with 25% travel expected and up to 50% as necessary.
  • Salary range varies significantly by location and is determined during the interview process.
  • Role involves working in ambiguous environments, which may require adaptability and quick decision-making.

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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