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Software Engineer, AI

1 month ago
Canada
Full-time
Mid Level
Software Engineer
Software Development
Apache Airflow AWS Azure BERT CI/CD Deep Learning Django Docker Flask GCP Generative AI Git Kubeflow Kubernetes Linux LLM Machine Learning MongoDB NLP PostgreSQL Python Snowflake SQL
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Calabrio

Calabrio

Calabrio offers an AI-powered workforce engagement management software suite designed specifically for contact centers, focusing on optimizing agent performance and enhancing customer interactions to foster brand loyalty.

Professional Services
251-1K
Founded 2007
$34M raised
View All Jobs 11

Description

  • Design end-to-end AI systems using machine learning, deep learning, NLP, and generative AI technologies.
  • Develop LLM-powered applications using foundation models, prompt engineering, retrieval-augmented generation, structured outputs, and tool calling.
  • Design and implement autonomous and semi-autonomous AI agents that can reason, plan, retrieve context, use tools, and execute actions safely.
  • Create multi-agent and orchestration workflows with clear control flow, observability, and fallback handling.
  • Deploy, monitor, and maintain AI/ML models and agentic systems in production.
  • Build data and inference pipelines for ingestion, preprocessing, vector search, model inference, and agent memory management.
  • Define and run evaluation frameworks for model quality, latency, safety, task completion, reliability, and business outcomes.
  • Optimize model selection, prompting, orchestration, latency, throughput, caching, token usage, and serving efficiency.
  • Apply security, privacy, responsible AI, compliance, guardrails, and human-in-the-loop review practices.
  • Collaborate with internal and external stakeholders to solve complex conversation intelligence and analytics problems.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field required; Master’s degree preferred.
  • 3+ years of end-to-end experience training, evaluating, testing, deploying, and monitoring machine learning models in production.
  • Hands-on experience building applications with LLMs, prompt engineering, retrieval-augmented generation, structured outputs, and model evaluation.
  • Experience with LLM and agent orchestration frameworks or platforms such as LangChain, LangGraph, Strands AI, or equivalent architectures.
  • Experience designing or building AI agents with planning, memory, tool calling, workflow orchestration, agent-to-agent interaction, and external system integration.
  • Strong experience with Python and backend frameworks such as Flask or Django for production APIs and AI services.
  • Strong understanding of machine learning fundamentals and NLP tasks such as text classification, NER, clustering, topic modeling, semantic search, and conversational AI.
  • Experience with fine-tuning LLMs and transformer-based models such as BERT, RoBERTa, and ALBERT, plus knowledge of tokenizers, embeddings, pre-trained models, and adaptation techniques.
  • Experience with SQL and NoSQL databases, vector databases or embedding stores, and data pipelines for AI applications.
  • Experience with model serving, observability, evaluation, error analysis, prompt/version management, and production monitoring of AI systems.
  • Familiarity with Linux and standard software engineering practices including testing, CI/CD, APIs, and version control.
  • Experience with AWS, Azure, or GCP is preferred.
  • Experience with Docker and Kubernetes is preferred.
  • Experience with ETL and data engineering projects is preferred.
  • Experience with PostgreSQL, Snowflake, or MongoDB is preferred.
  • Experience with Kubeflow or Airflow is preferred.

Benefits

  • Starting salary targeted at $110,000, with market-competitive pay based on skills, experience, and qualifications.
  • Medical and dental insurance.
  • Disability and life insurance.
  • Flexible PTO and paid holidays.
  • Parental leave.
  • Training and development from industry-leading experts.
  • Great opportunities for career development.
  • A balanced work-life environment and comprehensive benefits subject to eligibility requirements.

Interested in this position?

Apply directly on the company website

Apply Now

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