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For Agents. For Brands. For Success.
Software Engineer, AI
Location
Canada
Posted
23 days ago
Salary
$110K / year
Seniority
Senior
Job Description
Software Engineer, AI
Calabrio, Inc.
• 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.
Job 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 frameworks or platforms for LLM and agent orchestration, such as LangChain, LangGraph, Strands AI, or equivalent architectures.
- Experience designing or building AI agents that use planning, memory, tool calling, workflow orchestration, agent-to-agent and external system integration to complete multi-step tasks.
- Strong experience with Python and backend frameworks such as Flask or Django for building production APIs and AI services.
- Strong understanding of machine learning fundamentals and practical experience with 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, ALBERT, and a solid understanding 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 monitoring of AI systems in production.
- Familiarity with Linux systems and standard software engineering practices including testing, CI/CD, APIs, and version control.
- Nice to have:
- Experience with AWS, Azure, or GCP
- Experience with Docker and Kubernetes
- Experience with ETL and Data Engineering projects
- Experience with PostgreSQL, Snowflake, or MongoDB
- Experience with Kubeflow, or Airflow
Benefits
- Global team recognized for their passion and innovation
- Innovative product culture and project exposure
- Training and development from industry-leading experts
- Cutting edge benefit programs that include: 401(k) with company matching; medical, dental, and vision insurance; disability and life insurance; flexible PTO; paid holidays and parental leave; tuition reimbursement and more
- We offer market competitive pay and benefits based upon the candidate’s skills, experience, and qualifications.
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