Senior Applied AI Engineer

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KPA

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1986

☁️ SaaS

📋 Compliance

🤝 B2B

💰 $5M Private equity on 2011-11

SaaS • Compliance • B2B

KPA is a provider of all-in-one EHS (environmental, health & safety) and regulatory compliance software and training services. Its platform offers configurable SaaS tools—mobile reporting, incident management, SDS/chemical tracking, asset and contractor management, dashboards and analytics—along with an integrated learning management system and industry-specific safety training. KPA serves businesses across construction, manufacturing, energy, utilities, mining and insurance to help reduce incidents, manage risk, and maintain regulatory compliance.

📋 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. • Lead the design, development, and scaling of the Agentic AI Platform, transforming the mature Enterprise EHS/ESG SaaS system (Flex) into a dynamic, AI-native system of intelligence and action. • 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. • Built and shipped enterprise-grade AI products to production, managing real-world challenges of multi-tenancy, PII redaction, token costs, latency, and model hallucination.

🎯 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 pass-through) 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.

🏖️ Benefits

• Medical • Dental • Vision • Flexible Spending Accounts • PTO • Paid and Floating Holidays • 401k with Company match and immediate vesting • Company-funded Life Insurance • Employee Assistance Programs • No-cost Mental Health Benefits