Software Engineer – AI Platforms

Novara

. Build user-facing features in the Flex web application .

Posted 11/11/2026full-timeToronto • CanadaJuniorMid-Level💰 CA$110,000 - CA$130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in building user-facing features and backend services, with a strong focus on AI integration and LLM workflows. Capable of delivering production-ready applications while ensuring effective communication and collaboration within agile teams.

Highest-signal resume keywords

Node.js ProficiencyTypeScript/JavaScript ExperienceReact Framework ExpertiseLLM Workflow ImplementationAWS Services Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Frontend DevelopmentBackend DevelopmentREST API DevelopmentGraphQL API DevelopmentPrompt EngineeringData StructuresAlgorithmsUnit TestingIntegration TestingDatabase Querying

Soft Skills

Clear CommunicationCollaboration SkillsProblem-Solving

Tools & Technologies

AWS BedrockLangChainMCP ServersCI/CD PipelinesDatadogCloudWatch

Certifications & Qualifications

Bachelor's Degree in Computer ScienceEngineering Degree

Industry Keywords

AI IntegrationEHS SoftwareCompliance SoftwareSafety SoftwareRetrieval-Augmented Generation

Tech Stack

Tools & technologies

AWSCloudGraphQLJavaScriptNode.jsReactTypeScript

About the role

Key responsibilities & impact

Build user-facing features in the Flex web application
Develop backend services, APIs, and LLM workflows
Deliver modern, AI-powered product functionality across the full stack
Own well-scoped features end to end
Work closely with senior engineers on architecture and AI integration patterns
Develop agentic workflows, MCP integrations, and evaluation practices
Deliver production-ready AI-powered features from UI through backend service with test coverage
Build user experiences that clearly present LLM outputs, including loading and error states and user review or correction capabilities
Implement LLM-driven workflows using services such as AWS Bedrock and LangChain
Contribute to MCP servers and tool integrations exposing existing APIs to AI systems
Apply prompt engineering and use evaluation results to improve accuracy and consistency
Implement guardrails and monitoring for LLM outputs
Validate and refine AI-generated code before review
Break product requirements into tasks and estimates; raise ambiguity early
Communicate progress, blockers, and tradeoffs to engineering and product partners
Participate in code reviews
Share AI workflows and learnings through documentation and internal discussions
Grow ownership toward larger components and system-level design

Requirements

What you’ll need

2–5 years of professional software engineering experience, including shipping production features across frontend and backend
Proficiency in Node.js and TypeScript/JavaScript
Experience building responsive web UIs with a modern framework such as React, including state management and API integration
Ability to build and consume well-typed REST or GraphQL APIs in Node.js and TypeScript, with sound handling of authentication, error handling, and data transformation
Hands-on experience building at least one application or feature using large language models via platforms such as AWS Bedrock, OpenAI, Anthropic, or similar
Working understanding of tools, function calling, and agents, and how they let LLM systems take action against existing APIs
Practical experience with prompt engineering and iterating on prompts to improve output quality
Familiarity with Retrieval-Augmented Generation (RAG) concepts, embeddings, and vector-based search
Comfort working in an AI-first development environment, using AI tools for code generation, refactoring, test creation, and documentation, and reviewing their output critically
Experience working with relational databases and writing efficient queries
Solid grasp of data structures, algorithms, and fundamentals of system design
Good debugging skills across the browser, server, and network
Experience writing unit and integration tests and working with CI/CD pipelines
Clear communication and collaboration skills in an agile, team-based environment
Bachelor's degree in Computer Science, Engineering, or a related technical discipline preferred, or equivalent practical experience
Exposure to building or consuming Model Context Protocol (MCP) servers or similar AI integration layers
Experience with LangChain, LangGraph, or similar orchestration frameworks
Familiarity with LLM evaluation approaches, guardrails, or output monitoring
Experience with AWS services (e.g., Lambda, ECS, S3) or another major cloud provider
Exposure to observability tooling such as Datadog or CloudWatch
Interest in or exposure to EHS, compliance, or safety software

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
Annual Bonus Opportunity of 10%