Senior Applied AI Engineer

Novara provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. Through the Flex and Risk Management Center platforms, Novara helps organizations address operational risk proactively by unifying data, increasing workforce engagement, and proactively managing risk. Novara’s combination of training, software, and tools puts people and safety first while protecting critical operations. ## Position Description: The Flex platform helps clients develop a comprehensive compliance program, leveraging technology to instill a culture of safety and maintain a productive workplace. The platform combines features that are tailored to the needs of our client’s business, including audits and inspections, incident management, flexible training, and reporting and insights. We are seeking a highly motivated, hands-on, production-proven Senior Applied AI Engineer to drive the technical realization of our Agentic AI Platform. In this role, you will lead the design, development, and scaling of this platform, transforming our mature, traditional Enterprise EHS/ESG SaaS system (Flex) into a dynamic, AI-native system of intelligence and action. You are a developer-first engineer who is comfortable writing complex state-machine routing code in Python, deploying auto-scaling serverless pipelines on AWS, configuring secure vector search engines, and designing dynamic widget-rendering APIs for the frontend. You have built and shipped enterprise-grade AI products to production, managing the real-world challenges of multi-tenancy, PII redaction, token costs, latency, and model hallucination. ### Knowledge, Experience, Requirements: • SaaS Product Experience: 5+ years of software development experience, with at least 2 years spent building and scaling production-grade AI features in a cloud-native SaaS environment. • Educational Background: Strong academic background in Computer Science, Data Science, Software Engineering, or a highly quantitative field (e.g., Mathematics, Physics, Statistics). Bachelor's degree in Computer Science, Engineering, or a related technical discipline preferred. • Technical Stack: You must have hands-on, production experience with the following technologies: - Languages: Python (Expert/Senior level), TypeScript/JavaScript (Strongly Preferred). - AI Frameworks: LangGraph, LangChain, Vercel AI SDK or equivalent. - AWS Infrastructure: Amazon Bedrock, ECS Fargate, S3, SQS, EventBridge, KMS, AWS Lambda, Amazon Comprehend, IAM. - Databases & Search: PostgreSQL / pgVector, Amazon OpenSearch Serverless, SQLAlchemy. - Data Processing: Pandas, NumPy, PyPDF, Layout-OCR engines. - API & Protocols: REST, Server-Sent Events (SSE), Webhooks, and Model Context Protocol (MCP). • Hands-on AWS Background: Strong experience designing secure AWS architectures using Least Privilege IAM execution roles, SigV4 API signing, and KMS envelope encryption. • RAG at Scale: Experience indexing and searching datasets scaling into millions of document chunks, with a proven understanding of Direct Bulk Indexing APIs. • System and Security Architecture: Solid understanding of authentication patterns (OAuth 2.0, JWT passthrough) and how to isolate data logically in multi-tenant shared databases. • Clean Code Advocate: Demonstrated ability to write clean, unit-tested, and well-documented Python code, utilizing self-correction loops and graceful degradation patterns to handle model latency and API rate-limiting limits. • Collaboration & Agile: Strong communication and collaboration skills, thriving in an agile, team-based environment. Nice-to-Haves: The following experience will be highly valued: • Machine Learning & Predictive Modeling: Practical experience training and serving classical ML models (e.g., Isolation Forest, One-Class SVM, or unsupervised clustering) for behavioral baselining, anomaly detection, or predictive risk scoring. • Experience developing React-based micr…