Senior Applied AI Engineer

KPA

Lead design and development of the Agentic AI Platform for compliance software company. Transform traditional Enterprise EHS/ESG SaaS system into an AI-native solution.

Posted 6/23/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$144,000 - CA$165,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudJavaScriptNumpyPandasPostgresPythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonTypeScriptJavaScriptLangGraphLangChainVercel AI SDKAWSPostgreSQLPandasREST

Soft Skills

communicationcollaborationagileclean code advocacy