AI Engineer

Remarcable

. Design, build and ship LLM-powered features across the platform, including invoice and PO matching, quote and document extraction, catalog normalization and smart purchasing suggestions .

Posted 10/27/2026full-timeVancouver • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping LLM-powered features, integrating with model providers, and implementing data privacy measures. Proficient in Python, SQL, and cloud infrastructure, with a strong focus on AI workflows and production monitoring.

Highest-signal resume keywords

Python ProgrammingLLM Feature DevelopmentAPI DevelopmentCloud Infrastructure (AWS)Data Evaluation and Quality Measurement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMachine LearningPrompt DesignEmbeddingsVector DatabasesSQLData AnalysisCI/CDObservabilityDocument AI

Soft Skills

Clear CommunicationStrategic ThinkingAdaptability

Tools & Technologies

DatabricksSnowflakeDbtPgvectorPineconeOpenSearchAI Assistant IntegrationAgent Frameworks

Industry Keywords

B2B SaaSProcurementERP SystemsAccounting SystemsHigh-Growth Startup

Tech Stack

Tools & technologies

AWSCloudERPPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, build and ship LLM-powered features across the platform, including invoice and PO matching, quote and document extraction, catalog normalization and smart purchasing suggestions
Build RAG and agentic workflows using procurement, inventory and accounting data
Own features end to end from prototyping through production rollout, monitoring and customer-feedback-driven iteration
Partner with Data Engineering to use the data lakehouse for AI features and an internal AI assistant
Build and maintain embedding pipelines, vector search and APIs serving web and mobile applications
Integrate with model providers such as Anthropic and OpenAI, selecting models based on quality, latency and cost
Create evaluation sets and automated tests to measure accuracy
Monitor production AI features for accuracy, cost, latency and drift, and resolve issues
Implement guardrails for data privacy, security and customer trust
Work with Product Managers to identify high-value AI workflows for contractors and suppliers
Help Customer Success, Support and internal teams automate manual work
Share knowledge through documentation, demos and code reviews
Lead or support AI-assisted AP automation, customer natural-language assistant and AI-powered supplier onboarding projects
Report to the VP of Engineering and collaborate with Product, Data and Full Stack Engineering teams

Requirements

What you’ll need

4+ years of software engineering experience, including at least 1–2 years building and shipping LLM or machine learning features to production
Strong Python skills and experience building production APIs and services
Hands-on experience with LLM APIs, prompt design, RAG, embeddings and vector databases such as pgvector, Pinecone or OpenSearch
Experience building evaluations and measuring model quality
Solid SQL and data skills; comfortable working with messy, real-world business data
Experience with cloud infrastructure, preferably AWS, CI/CD and observability
Clear communication skills and ability to explain AI trade-offs to non-technical teammates and customers
Comfortable working with ambiguity and performing both strategic and hands-on work
Experience with agent frameworks, tool use or MCP integrations
Document AI experience, including OCR and extraction from invoices, quotes, packing slips or drawings
Familiarity with construction, trades, procurement, ERP or accounting systems
Experience with lakehouse or modern data stack tools such as Databricks, Snowflake or dbt
Experience at a high-growth startup or scale-up, ideally in B2B SaaS
Experience fine-tuning or hosting open-source models

Benefits

Comp & perks

Competitive salary and performance-based bonus
Comprehensive health and wellness benefits
Collaborative, mission-driven culture
Opportunity to be one of the first dedicated AI engineers and shape how AI is built
Work on real problems with real data from major electrical contractors
See work used on jobsites, warehouses and purchasing offices within weeks
Opportunity to join a high-growth company at an early stage and advance as the company scales
Work closely with leadership on meaningful initiatives