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Scale Army Careers

AI Forward-Deployed Engineer

Scale Army Careers

. Build a diligence data room for seller-uploaded incorporation documents, financials, and reports .

Posted 9/21/2026contractRemote • Egypt, Argentina, Ethiopia, South Africa, NigeriaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building internal tools and integrations, with a strong focus on Python, TypeScript, SQL, and cloud deployment on Azure. Proficient in developing REST APIs, managing data workflows, and utilizing Microsoft 365 tools for efficient project execution.

Highest-signal resume keywords
Python ProgrammingTypeScript ProgrammingSQL Database DesignREST API IntegrationAzure Cloud Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonTypeScriptSQLREST APIReactAzureGitCI PipelineOCRLLM APIs
Soft Skills
Technical CommunicationIndependent Problem SolvingAdaptability
Tools & Technologies
Microsoft 365Graph APISharePointPower AutomateEntra IDAzure SQLKey VaultAzure App ServiceStatic Web AppsDocker
Industry Keywords
Data IntegrationFinancial Data ExtractionHealthcare/EMRM&A ToolingMulti-Entity Finance

Tech Stack

Tools & technologies
AzureCloudDockerPostgresPythonReactSQLTypeScriptVault

About the role

Key responsibilities & impact
  • Build a diligence data room for seller-uploaded incorporation documents, financials, and reports
  • Build notifications identifying when a data room is complete or stalling
  • Build a target-analysis tool for summarizing practice financial and business information
  • Support a target-identification tool for finding practice owners to approach
  • Connect meeting transcripts to the priority tracker as tentative tasks
  • Implement human approval before tasks are added to the tracker
  • Build a live brand rollout tracker for eight to ten specialty brands
  • Track brand names, logos, colour systems, websites, signage, patient-facing collateral, ad creative, owners, statuses, and launch blockers
  • Build a brand asset engine generating channel-specific advertising and design creative at volume
  • Include human approval before publishing brand assets
  • Build REST API integrations with OAuth2, pagination, rate limits, retries, and idempotency
  • Work with the outsourced IT provider to obtain system access without disrupting the environment
  • Develop with Microsoft 365, Graph API, SharePoint, Power Automate, Entra ID, and permission scopes
  • Use Git and CI pipelines with tests before deployment
  • Write, review, and debug production Python or TypeScript code
  • Design and query SQL databases and reconcile disagreeing data sources
  • Build React or equivalent front ends
  • Deploy cloud applications, preferably on Azure
  • Build production LLM workflows with structured outputs, tool calling, document retrieval, and prompt versioning
  • Process PDFs and spreadsheets at volume, using OCR and extracting financial data
  • Apply secrets management and least-privilege service accounts
  • Later support cash-flow forecasting and intercompany reconciliation after the FP&A platform launches

Requirements

What you’ll need
  • 3+ years of experience building internal tools, integrations, or data plumbing
  • Professional-level Python or TypeScript
  • Experience writing, reviewing, and debugging production code
  • SQL skills covering schema design, joins, aggregation, window functions, and data reconciliation
  • Experience with REST API integrations
  • Experience with Postgres, SQL Server, or Azure SQL
  • Knowledge of OAuth2 flows, pagination, rate limits, retries, and idempotency
  • Experience building front ends using React or an equivalent technology
  • Cloud deployment experience, with Azure preferred
  • Experience with Azure App Service or Static Web Apps, Functions, Azure SQL, and Key Vault
  • Experience using Git and a CI pipeline
  • Experience working with Microsoft 365, including Microsoft Graph API, SharePoint document libraries, Power Automate, Entra ID app registrations, and permission scopes
  • Experience building with LLM APIs in production
  • Experience with structured JSON output, schemas, function or tool calling, document chunking and retrieval, and prompt versioning
  • Experience with PDF and spreadsheet parsing, OCR, and extracting structured fields from financial statements
  • Knowledge of secrets management and least-privilege service accounts
  • Ability to work from written specifications independently and identify when specifications are wrong
  • Ability to explain technical decisions to a CFO in plain language
  • Ability to ship a small working solution in the first week
  • Experience using AI tooling appropriately and understanding its limitations
  • Must be available during U.S. business hours through 5:00 PM ET
  • Must submit an English-language PDF resume
  • Must record and submit a video using the same email as the application
  • Nice-to-have: M&A tooling, healthcare/EMR, document extraction, multi-entity finance, marketing operations, Meta or Google ad platform APIs, HubSpot, HIPAA, vector search, MCP servers, Power Apps, queue or job scheduling, and Docker

Benefits

Comp & perks
  • Fully remote work from home
  • Opportunity to work directly with M&A, marketing, COO, CFO, and outsourced IT stakeholders
  • Professional development through work with AI, LLM APIs, cloud deployment, integrations, and healthcare technology