AI Engineer

Job not on LinkedIn

🔥 6 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aspire Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏨 Hospitality

📦 Logistics

🏗️ Construction

Hospitality • Logistics • Construction

Aspire Software is a company that focuses on acquiring and nurturing businesses with a strong foundation in outstanding products and passionate teams. As part of the Valsef Group, Aspire Software offers resources, knowledge, and a suite of best practices to enhance and expand operations for continuous improvement and sustainable growth. The company emphasizes decentralization to unlock innovation and adaptability within its acquired entities. Aspire Software is dedicated to serving its customers through long-term technology partnerships, leveraging capital and expertise in various verticals to grow both the businesses and individuals involved.

📋 Description

• Introduce and operationalize AI-assisted development practices, including code generation, AI pair-programming, and automated test generation • Identify friction in moving requirements from customer requests to shipped features and apply AI tooling to accelerate delivery • Partner with Angular, React, C#, and TypeScript developers to embed AI tooling into daily workflows • Build reusable patterns and playbooks to scale AI-assisted delivery across teams • Design, develop, and deploy AI features into existing configurable SaaS platforms • Integrate LLMs and ML models into legacy architectures while preserving existing requirements • Build automation pipelines to reduce manual operational tasks • Develop intelligent agents and AI-powered workflow systems • Implement RAG systems and embedding pipelines • Work with vector databases and retrieval systems • Build AI orchestration layers and agent frameworks • Ensure reliability, monitoring, and evaluation of AI outputs • Deploy and maintain models in production • Collaborate with engineering leads, product, operators, and non-technical stakeholders • Translate ambiguous product and development-process problems into scalable AI solutions • Balance delivery speed with engineering rigor under aggressive customer timelines • Drive execution with minimal oversight

🎯 Requirements

• Experience working within deeply configurable, enterprise-grade SaaS platforms (not greenfield products) • Strong Python expertise • Comfortable across Angular, React, C#, and TypeScript • Backend development experience with APIs and microservices in a mature production codebase • Experience deploying production systems • Familiarity with AWS, Azure, or GCP • CI/CD, Docker, and containerization experience • Experience integrating LLMs, including OpenAI, Anthropic, or open-source models • Experience with AI-assisted development tooling at team scale • Prompt engineering experience • Experience with RAG pipelines • Experience with vector databases such as Pinecone, Weaviate, or FAISS • Experience with embeddings and semantic search • Familiarity with model fine-tuning • Familiarity with supervised and unsupervised learning • Familiarity with evaluation frameworks for LLM systems • Understanding of hallucination mitigation, guardrails, and output validation • Experience building data pipelines and ETL processes • Experience with structured and unstructured data • Experience with API integrations across SaaS platforms • Experience with automation tooling and workflow orchestration • Experience with model versioning and experiment tracking • Experience monitoring model performance • Experience with logging and observability • Experience A/B testing AI features • Deep comfort working inside legacy, configurable enterprise platforms • Highly hands-on; able to ship rather than only design • Comfortable with ambiguity and aggressive timelines • Business-oriented, with focus on ROI and customer-facing impact • Pragmatic approach to tool selection • Experience with CACFP, childcare, child nutrition, education, government programs, or other regulated industries is preferred but not required

🏖️ Benefits

• No benefits specified in the posting