Forward Deployed Software Engineer, Public Sector
Scale AI · Austin, TX; Colorado Springs, CO; Honolulu, HI; St. Louis, MO; Washington, DC
Posted about 3 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
- 87 days Scale AI's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 2% of Scale AI's roles list one
- Ghost-job risk at Scale AI
- high 217 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
- 2026-10-29
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.
- 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 2026-10-29. PitchMeAI is not the employer.
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