Senior Software Engineer, AI

🕒 August 27

🇨🇦 Canada – Remote

💵 $95k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Calabrio, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

Calabrio, Inc. is a provider of workforce engagement management (WEM) solutions, offering a fully integrated cloud-based suite known as Calabrio ONE. The company focuses on optimizing contact centers by combining tools for workforce management, quality management, call recording, analytics, and AI-driven insights to boost performance and customer engagement. Calabrio ONE is designed to empower agents through automated scheduling and forecasting while enhancing customer experiences with personalized coaching and performance insights. The platform is used across a variety of industries, helping to build brand trust and improve business intelligence with its AI-fueled analytics solutions.

📋 Description

• Design AI systems • Build end-to-end AI solutions using machine learning, deep learning, NLP, and generative AI • Develop LLM-powered applications using foundation models, prompt engineering, retrieval-augmented generation, structured outputs, function/tool calling, and agent workflows • Design and implement AI agents that plan, reason through multi-step tasks, interact with tools and APIs, retrieve context, and execute controlled business-process actions • Develop multi-agent and orchestration workflows with control flow, observability, and fallback handling • Deploy, monitor, and maintain AI/ML models and agentic systems in production • Build ingestion, preprocessing, vector-search, model-inference, and agent memory/context pipelines • Define offline and online evaluation frameworks for quality, latency, safety, task completion, reliability, and business outcomes • Optimize model selection, prompt efficiency, orchestration, latency, throughput, caching, token usage, and serving efficiency • Apply security, privacy, responsible AI, model-risk controls, guardrails, permissions, compliance, and human-in-the-loop review • Devise and implement advanced NLP algorithms and LLM models for Conversation Intelligence analytics • Collaborate with internal and external stakeholders and incorporate input from various sources

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field required • 5+ years of end-to-end experience training, evaluating, testing, deploying, and monitoring machine learning models in production • Hands-on experience with LLMs, prompt engineering, retrieval-augmented generation, structured outputs, and model evaluation • Experience with LangChain, LangGraph, Strands AI, or equivalent LLM/agent orchestration architectures • Experience designing or building AI agents using planning, memory, tool calling, workflow orchestration, agent-to-agent, and external system integration • Strong Python experience and backend frameworks such as Flask or Django • Strong understanding of machine learning fundamentals • Practical NLP experience including text classification, NER, clustering, topic modeling, semantic search, and conversational AI • Experience fine-tuning LLMs and transformer-based models such as BERT, RoBERTa, and ALBERT • Understanding of tokenizers, embeddings, pre-trained models, and adaptation techniques • Experience with SQL and NoSQL databases, vector databases or embedding stores, and AI data pipelines • Experience with model serving, observability, evaluation, error analysis, prompt/version management, and production monitoring • Familiarity with Linux, testing, CI/CD, APIs, and version control • Excellent communication, collaboration, critical thinking, analytical, and problem-solving skills

🏖️ Benefits

• Global team recognized for their passion and innovation • Innovative product culture and project exposure • Training and development from industry-leading experts • Medical and dental insurance • Disability and life insurance • Flexible PTO • Paid holidays • Parental leave • Comprehensive benefits for various life circumstances and needs • Opportunities for career development • Balanced work-life • Reasonable accommodation for eligible applicants with disabilities