Software Engineer-Ai Platforms

Novara provides safety, operational risk management, and sustainability software that empowers organizations to identify and resolve issues before they become incidents. Through the Flex and Risk Management Center platforms, Novara helps organizations manage operational risk proactively with a system they can configure to fit their operations, data that unifies risk and safety intelligence, and tools that increase workforce participation. Novara’s combination of software, training, and AI‑powered tools put people and safety first while protecting critical operations.
Position DescriptionThe 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 tailored to the needs of our clients' businesses, including audits and inspections, incident management, flexible training, and reporting and insights.
As a member of our development team, the Software Engineer – AI Platform works across the full stack to deliver modern, AI‑powered product functionality. You will build user‑facing features in the Flex web application and the backend services, APIs, and LLM workflows behind them, so clients can keep their teams safe and manage risk.
This role suits an engineer with 2–3 years of professional experience who has shipped production features end to end and has hands‑on exposure to LLM‑based applications. You will own well‑scoped features, work closely with senior engineers on architecture and AI integration patterns, and grow your depth in agentic workflows, MCP integrations, and evaluation practices.
Knowledge, Experience, RequirementsRequired
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
Nice to have
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
Success Criteria
Delivers well‑scoped, production‑ready AI‑powered features end to end, from UI to backend service, with solid test coverage and minimal rework
Builds intuitive user experiences that present LLM outputs clearly, including loading states, error states, and ways for users to review or correct AI‑generated results
Implements LLM‑driven workflows using services such as AWS Bedrock and LangChain, following patterns set by senior engineers
Contributes to MCP servers and tool integrations that expose existing APIs to AI systems, with appropriate authentication, input validation, logging, and failure handling
Applies prompt engineering techniques to improve accuracy and consistency, and uses evaluation results to measure improvements
Implements guardrails and monitoring for LLM outputs as defined by the team's standards
Validates and refines AI‑generated code before submitting it for review, and owns its quality
Breaks down defined product requirements into clear tasks and estimates, and raises ambiguity early
Communicates progress, blockers, and tradeoffs clearly to engineering peers and product partners
Participates actively in code reviews, both giving and receiving feedback constructively
Shares useful AI workflows and learnings with the team through documentation and internal discussions
Steadily grows ownership, moving from scoped features toward larger components and system‑level design
Contributes positively to team culture by collaborating effectively and fostering continuous learning
CompensationAnnual Base Salary Range of:
Software Engineer- 110k-130k CAD
Senior Software Engineer- 130k-150k CAD
Annual Bonus Opportunity of 10%
LocationWe’re a remote‑first team that gets together in our North York office in Toronto every Tuesday, and as needed for in‑person team events. The person in this role will be willing and able to commute to the office one day a week, and comfortable working remotely the rest of the time.
As a growing company, Novara values its employees by supporting them with a full benefits package including 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, and No‑cost Mental Health Benefits.
About NovaraNovara 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.
Novara, a Providence Equity portfolio company, 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.
Novara launched January 1 2026, as an independent company, a spin‑off of the Flex and RMC software businesses formerly part of KPA.
Don’t meet every job requirement? At Novara, we are dedicated to building a diverse, inclusive, and authentic workplace. Studies have shown that women and people of color are less likely to apply unless they meet every requirement. If you’re excited about the role but your past experience doesn’t align perfectly with every qualification, we still encourage you to apply! You might just be the right candidate for this or other roles.
Please note that we may use AI tools to assist in the initial screening of resumes to help identify qualified candidates more efficiently. All decisions are reviewed by a human recruiter, and no hiring determination is made solely by automated means.
Novara is committed to providing equal opportunity in all of our employment practices, including selection, hiring, promotion, transfer, and compensation, to all qualified applicants and employees without regard to race, religion, religious dress/grooming, color, ethnicity, sex (including sex stereotyping), sexual orientation, gender identity or gender expression, national origin, ancestry, citizenship status, creed, uniform service member status, military or veteran status, marital status, pregnancy, breast‑feeding and/or pregnancy‑related conditions, age, protected medical condition, leave status, physical or mental disability, genetic characteristics, or any other legally‑protected status in accordance with the requirements of all federal, state and local laws.In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
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