AI Applications Engineer
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Job Description
AI Applications Engineer creating AI-powered applications for cybersecurity and compliance intelligence. Designing backend services, integrating APIs, and optimizing data pipelines for enterprise customers.
Responsibilities:
- 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:
- 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:
- generous personal time off
- holiday pay
- health insurance
- pension
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