Note: The job is a remote job and is open to candidates in USA. Aadmi Consulting is a company focused on data protection and compliance solutions. They are seeking an AI Applications Engineer - AI Integration to develop AI-powered applications for cybersecurity and compliance intelligence, including designing backend services and integrating AI capabilities for enterprise customers.
Responsibilities
- Design and build REST APIs in Node.js and PHP to deliver dashboard data and AI-driven insights
- Integrate LLM APIs (e.g., OpenAI, Anthropic, Cohere, Google Gemini, Azure OpenAI) for natural language recommendations, reporting, and risk analysis
- Ability to quickly create Proof-of-Concept code and engage with multiple stakeholders to drive PoC productization
- 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 (AWS Lambda) for asynchronous AI processing and pipeline orchestration
- Implement event-driven workflows using SQS, EventBridge, or equivalent messaging systems
- Develop algorithms for pattern recognition, anomaly detection, and trend analysis
- Create predictive models for forecasting and risk scoring
- Implement caching strategies (e.g., Redis) 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
Skills
- 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
- Familiarity with prompt engineering and AI optimization techniques
- Experience with AWS AI Infrastructure including Bedrock, SageMaker
- Experience with time series analysis and statistical modeling
- Background in cybersecurity, compliance, or risk management software
- Strong understanding of serverless and event-driven architecture
- Experience with ETL pipelines and orchestration frameworks
- Experience modernizing and refactoring legacy PHP applications
- Experience with business intelligence systems and executive reporting
- Familiarity with anomaly detection algorithms and predictive analytics
- Experience with scaling strategies for SaaS platforms (horizontal scaling, sharding, etc.)
- Knowledge of monitoring and observability tools (CloudWatch, logging frameworks)
Benefits
- Significant career growth
- Competitive compensation
- A benefits package including generous personal time off
- Holiday pay
- Health insurance
- Pension
Company Overview