AI Applications Engineer

Aadmi Consulting

AI Applications Engineer creating AI-powered applications for cybersecurity and compliance intelligence. Designing backend services, integrating APIs, and optimizing data pipelines for enterprise customers.

Posted 7/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend development, particularly in building AI-powered applications and multi-tenant SaaS platforms. Proficient in designing APIs, optimizing database operations, and integrating LLM APIs for enhanced data processing and predictive insights.

Highest-signal resume keywords

Backend DevelopmentAPI Design in Node.js and PHPPython with Pandas and NumpyAWS Services (Lambda, ECS, RDS)SQL Query Optimization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Backend DevelopmentAPI DesignPython ProgrammingPHP ProgrammingSQL OptimizationData Processing PipelinesMicroservices DevelopmentPredictive ModelingEvent-Driven WorkflowsCaching Strategies

Tools & Technologies

AWSGitDockerCI/CD PipelinesLLM APIsREST APIsWebSocketsMessage QueuesEvent StreamingPDF Generation

Industry Keywords

AI-Powered ApplicationsCybersecurityCompliance IntelligenceMulti-Tenant ArchitectureData AggregationReal-Time SystemsData Isolation StrategiesDatabase MigrationStatistical ModelingAnomaly Detection

Tech Stack

Tools & technologies

AWSCyber SecurityDockerJavaScriptMicroservicesNode.jsNumpyPandasPHPPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Build the next generation of AI-powered applications for cybersecurity and compliance intelligence
Designing and developing backend services that aggregate data across multiple systems
Integrate AI capabilities and deliver predictive insights to enterprise customers
Work on a multi-tenant SaaS platform that supports organizations with complex hierarchies
Designing APIs, building AI-powered data processing pipelines, and optimizing large-scale database operations
Design and build REST APIs in Node.js and PHP
Integrate LLM APIs for natural language recommendations
Develop Python microservices with pandas, numpy for preprocessing, analytics, and statistical modeling
Implement real-time data aggregation pipelines from existing SQL databases
Design and optimize database schemas for multi-tenant SaaS and time-series data storage
Build serverless functions for asynchronous AI processing and pipeline orchestration
Implement event-driven workflows using messaging systems
Develop algorithms for pattern recognition, anomaly detection, and trend analysis
Create predictive models for forecasting and risk scoring
Implement caching strategies for dashboard performance optimization
Build automated report generation with PDF export and scheduled delivery
Optimize SQL queries for high-volume data aggregation across multiple organizations.

Requirements

What you’ll need

5+ years backend development experience with production systems at scale
Hands-on experience with LLM API integrations (OpenAI, Anthropic, Cohere, Google Gemini, or similar)
Strong PHP skills (including legacy system integration) and Node.js for API/microservice development
Strong Python skills with PyTorch, TensorFlow, pandas, numpy, and data manipulation expertise
Experience with AWS services (Lambda, ECS, RDS, SQS, EventBridge, S3)
Advanced SQL skills including query optimization, indexing, and schema design
Experience in REST API design and third-party integrations
Knowledge of multi-tenant architectures and data isolation strategies
Experience with real-time systems (WebSockets, message queues, or event streaming)
Proficiency with Git, Docker, and CI/CD pipelines
Experience with database migration and data synchronization
Strong understanding of caching strategies and performance optimization.

Benefits

Comp & perks

generous personal time off
holiday pay
health insurance
pension