Who You AreYou are an experienced software engineer with a forward-deployed background and a modern AI perspective. You have worked on government projects in GovCloud, FedRAMP, or IL-4/IL-5 environments. You've managed cloud environments in both commercial and government contexts - experienced across the major cloud ecosystems, with depth in AWS. Above all, you're comfortable sitting alongside clients to mutually architect and integrate systems and capabilities, translating their mission into working software.
You're also an engineer who codes with AI as a first-class tool, not an add-on. You pair traditional technical training with a forward-leaning approach to agentic coding, rapid prototyping, and multi-agent workflows. You move fast, iterate with stakeholders, and care about shipping things that work.
What a Great Candidate Looks Like- US Citizen
- 4+ years of professional experience, including graduate or Ph.D. work if relevant
- Technical education; post-graduate education preferred
- Forward-leaning in AI coding, with traditional technical training as a foundation
- Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation
- Strong programming foundation: Python, Scala, Java, R
- Strong AWS cloud management experience (ECS, RDS, S3, Cognito, Bedrock) and equivalent ecosystems
- Infrastructure as code (Terraform, CloudFormation), containerization and orchestration (Docker, ECS/EKS/Kubernetes), and CI/CD pipelines
- Familiarity with government cloud accreditation and security standards - FedRAMP, NIST 800-53, DoD IL-4/IL-5, STIGs
- Forward-deployed experience: comfortable collaborating directly with clients to architect and integrate systems, and willing to work on-site at client or government locations as needed
- Self-driven, mission-driven, curious, and constructive; startup mindset with strong communication skills
- Ability to provide references and meet in person
The Opportunity We OfferAs an AI Forward Deployed Engineer, you'll create scalable, secure environments for AI-deployed code and partner directly with clients to bring new capabilities to life in their environments.
AI FDE Responsibilities:
- Collaborate directly with government and enterprise clients to mutually architect, integrate, and deploy systems and capabilities.
- Architect services, microservices, and API endpoints.
- Deploy and maintain user application and prototyping platforms, owning uptime and reliability.
- Build and operate secure, compliant cloud environments that meet government and client accreditation standards.
- Manage infrastructure as code, CI/CD, and observability across commercial and government cloud contexts.
Quantifind's development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and in Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space. Remote candidates will be considered for this role. If in person, minimum 3 days per week in office.
A highlight of our benefits:
- Competitive salary
- Company Equity
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
- A fun environment where work-life balance is valued
The base salary range for this full-time position is $160k to $200k. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
