Posted 11h ago

Software Engineer, AI

@ Calabrio
Toronto or Canada
RemoteFull Time
Responsibilities:Design AI, Develop LLM, Build agents
Requirements Summary:Bachelor’s degree in Computer Science or Engineering; 3+ years building production ML/AI; experience with LLMs, Python, backend frameworks; NLP tasks; data pipelines; Linux; CI/CD; knowledge of model evaluation and safety.
Technical Tools Mentioned:Python, Flask, Django, LangChain, LangGraph, LLM, Docker, Kubernetes, AWS, Azure, GCP, PostgreSQL, Snowflake, MongoDB, Kubeflow, Airflow, Linux, CI/CD
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Job Description

Are you driven by innovation and looking to thrive in a fast-paced, growing environment? Join us at Verint and be part of our dynamic team! Help us in reshaping the landscape of customer experience – where every interaction becomes an opportunity, and every insight drives meaningful change.

Verint are he trailblazers in customer experience intelligence! Revolutionizing the way organizations connect with their customers, we empower businesses to elevate every interaction to new heights. Our cutting-edge cloud platform, coupled with AI-driven analytics tools, unlocks the true essence of customer sentiment, turning data into actionable insights with lightning speed.

Calabrio is looking for a highly skilled and experienced Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer experience supported by trusted, and resilient business solutions. As an AI Software Engineer, you will design, build, deploy, and optimize AI-powered products and platforms, with a strong focus on LLM applications, agentic AI systems, applied machine learning, backend engineering, data pipelines, evaluation, and production operations. You will turn AI capabilities into reliable business solutions that are scalable, measurable, secure, and maintainable.

This role is ideal for someone who can move beyond experimentation and deliver production-grade AI systems, including autonomous and semi-autonomous AI agents that can reason, plan, use tools, retrieve knowledge, and take actions safely within defined business workflows. Calabrio has embarked journey and is truly committed to establishing a value fabric that transforms its customer, employee, and stakeholder experiences through seamless integrated, agile, data-driven, and secure Digital Services. Such an endeavor requires leaders passionate about customer experience and committed to consistently delivering value while focusing on digital services with inherent trust and resilience. 

 

What you’ll be doing: 

  • Design AI systems 
    • Build end-to-end AI solutions using machine learning, deep learning, NLP, and generative AI technologies. 
  • Develop LLM-powered applications 
    • Create applications using foundation models, prompt engineering, retrieval-augmented generation, structured outputs, function/tool calling, and agent workflows. 
  • Build agentic AI solutions 
    • Design and implement AI agents that can plan, reason through multi-step tasks, interact with external tools and APIs, retrieve relevant context, and execute actions within controlled business processes. 
  • Develop multi-agent and orchestration workflows 
    • Create orchestrated AI systems where multiple agents or components collaborate to solve complex tasks, with clear control flow, observability, and fallback handling. 
  • Productionize models and AI agents 
    • Deploy, monitor, and maintain AI/ML models and agentic systems in production environments with strong reliability, performance, and safety standards. 
  • Build data and inference pipelines 
    • Develop pipelines for ingestion, preprocessing, vector search, model inference, agent memory/context management. 
  • Improve quality and evaluation 
    • Define offline and online evaluation frameworks for model quality, latency, safety, task completion, agent reliability, and business outcomes. 
  • Optimize performance and cost 
    • Improve model selection, prompt efficiency, agent orchestration, latency, throughput, caching, token usage, and serving efficiency. 
  • Ensure governance and safety 
    • Apply best practices for security, privacy, responsible AI, model risk controls, guardrails, agent permissions, compliance, and human-in-the-loop review where needed. 

 

We’re looking for: 

  • Problem solver - devise and implement advanced NLP algorithms and LLM models to address intricate challenges in Conversation Intelligence analytics 
  • Strong team player – works with internal and external stakeholders to solve problems and actively incorporate input from various sources 
  • Excellent communication skills and collaborative working style 
  • Ability to think “out of the box”, strong critical thinking and analytical skills