Applied AI Engineer, Internal Systems
- Location
- El Segundo, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 23 days ago
Skills & highlights for this role
- US citizenship
- Python
- TypeScript
- APIs and databases
- LLM applications and agents
Also useful
- evaluation and observability
- security and reliability engineering
About the Role
Every hour spent chasing information or moving it between tools is an hour someone can't spend on the work they were hired to do. This role exists to remove that overhead.
As the Applied AI Engineer, Internal Systems you'll own the engineering behind the AI tools Gallatin uses to run the company. You'll work alongside the Internal AI Operations Product Manager to shape solutions, with the technical design and implementation in your hands. You'll also own deployment and reliability. Your users will be your colleagues. Work together with them to understand the bottlenecks, connect information across internal tools, and build agents that carry tasks through to completion.
What You'll Build
Projects could include an entire coding agent harness, an assistant that answers questions from internal documents with sources and access controls, an agent-native CRM custom to Gallatin’s defense business, or an agent that keeps project status current across the systems teams already use. You'll help the product manager scope these projects by assessing technical feasibility and the cost of building and maintaining them.
You'll own the engineering from first prototype through production
- Turn workflow problems into technical requirements. Identify where a process should change before automating it.
- Build applications and integrations that connect models to company systems. Use conventional code where the behavior needs to be predictable.
- Turn useful experiments into software people can depend on, with evaluations, observability, and a way to recover when something fails.
- Design access controls and human review into workflows that handle sensitive information or take consequential actions.
- Instrument the systems so we can measure time saved and output quality. Use failure data to improve the software and give the product manager evidence for what to improve or retire.
- Help colleagues use and extend what you build. Document the systems so another engineer can maintain them.
What We’re Looking for
You've shipped software people use and maintained it after launch. You can turn an unclear problem into a technical plan and ship a useful first version.
- Strong programming ability in Python or TypeScript, with experience building APIs and working with databases.
- Experience building LLM applications or agents that use external tools and data. You can explain how you tested them and where they fail.
- Enough experience across the stack to build a usable interface and deploy the service behind it.
- Engineering judgment about reliability and security. You know when a model needs a human check and when a simpler implementation will work better.
- Comfort working directly with nontechnical colleagues. You can explain a tradeoff clearly and change your approach when the workflow demands it.
Experience building internal tools, evaluating AI outputs, or integrating business systems would help.
Your First 90 Days
- Work with the Internal AI Operations Product Manager to choose an initial workflow with a team that will use it.
- Establish a baseline together.
- Own the technical design and ship a working version with evaluations and observability, then improve it through regular use.
- By day 90, we should know whether it saves time and meets the team's quality bar, with a plan to keep it working.
Mission and Identity
We are building the system that enables faster, smarter logistics decisions in contested environments, and we're doing it with a team of seasoned entrepreneurs, operators, and technologists who have built and scaled solutions in this space before. We hold ourselves to an extremely high standard. We value clear thinking, direct communication, and the kind of ownership that doesn't stop until something actually works.
- Our mission is to create decision advantage when the stakes are the highest.
- If we succeed, the system doesn't just run; it gets smarter.
- We're not building AI for its own sake.
- We're building it because faster, smarter decisions in the most demanding environments on earth can't wait.
- If you want to work somewhere the stakes are real and the mission is urgent - you'll fit in here.
Compensation
Gallatin offers competitive compensation commensurate with experience. Actual compensation may vary based on experience, skills, and location. In addition to base salary, we offer a generous equity grant, full healthcare coverage, 401k, unlimited PTO, and the perks of working in a high-caliber, mission-driven environment.
This position may require the ability to obtain and maintain a U.S. government security clearance. The successful candidate must be able to work in a classified environment when necessary.
We comply with the United States Department of Labor's Pay Transparency provision
Note: Due to the nature of certain government contracts held by this organization, U.S. citizenship is a requirement for all positions at Gallatin. Proof of citizenship will be required prior to employment if selected.
About Gallatin
At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made - not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage.
Why Gallatin?
The logistics infrastructure that supports America's warfighters and humanitarian disaster responders is overdue for transformation, and we are building it. From defense operations to disaster response, we're solving the hardest problems that keep missions moving when it matters most. Join a team where the mission is the point.
Equal opportunity and legal notices
Gallatin is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.
From Gallatin's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Applied AI Engineer, Internal Systems role at Gallatin, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Common questions
Where is the Applied AI Engineer, Internal Systems job at Gallatin located?
This Applied AI Engineer, Internal Systems position at Gallatin is located in El Segundo, CA (On-site). Always check Gallatin's application page for specific state eligibility or relocation policies.
What qualifications are required for Applied AI Engineer, Internal Systems at Gallatin?
For the Applied AI Engineer, Internal Systems role, Gallatin highlights experience with Python, TypeScript, APIs and databases, LLM applications and agents. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Applied AI Engineer, Internal Systems position at Gallatin?
This listing links directly to Gallatin's Ashby application page. You can apply directly on Gallatin's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.