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Remote role, mid-level (5+) experience, and broad AI/backend requirements increase applicant competition.
AI and backend engineering skills transfer across industries, but cybersecurity/compliance preference raises sensitivity moderately.
Multiple mandatory technical requirements including 5+ years, LLM integrations, PHP/Node.js, Python with ML frameworks, and AWS.
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Design and develop AI-powered backend services, including REST APIs and data processing pipelines, for a multi-tenant SaaS cybersecurity and compliance platform.
Integrate various LLM APIs to provide natural language insights, reporting, and risk analysis to enterprise customers.
Optimize database schemas and real-time data aggregation pipelines to support high data volume and deliver predictive analytics and business intelligence.
Minimum 5+ years backend development experience with production systems at scale.
Proficient with LLM API integrations (e.g., OpenAI, Anthropic, Cohere, Google Gemini).
Strong skills in PHP (including legacy system integration), Node.js, Python (with PyTorch, TensorFlow, pandas, numpy).
Experience with AWS services (Lambda, ECS, RDS, SQS, EventBridge, S3) and advanced SQL including query optimization and schema design.
Experienced in building and optimizing REST APIs and microservices for multi-tenant SaaS platforms with complex data hierarchies.
Skilled in event-driven and serverless architecture using AWS, with a focus on real-time data processing and asynchronous AI workflows.
Background or familiarity with cybersecurity, compliance, risk management, and predictive analytics within large-scale SaaS environments.