AI Engineer

Location – Halifax

Responsibilities:

· Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curation

· Design and optimize data models, feature stores, and storage patterns for AI/ML workloads

· Implement DataOps and MLOps automation (CI/CD, data validation, model deployment, monitoring, drift detection)

· Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)

· Develop and integrate AI services into secure, production-grade environments

· Design and implement AI systems architecture best practices and standards across the organization

· Build scalable, resilient cloud and on-premise systems for hosting AI/LLM applications

· Provide infrastructure design, optimization, and monitoring support

· Translate business requirements into technical solutions through cross-functional collaboration

· Ensure code quality, system reliability, scalability, and observability

Expectations / Skillset Required:

· Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)

· Proficiency in SQL and distributed computing (Spark, distributed systems)

· Deep experience with data modeling and feature engineering across the ML lifecycle

· Hands-on experience building LLM applications, RAG pipelines, and agentic AI frameworks (LangChain/LangGraph preferred)

· Expertise designing distributed systems at enterprise scale

· Strong CI/CD and DevOps knowledge (GitHub/GitHub Actions, Docker, Kubernetes)

· Experience with event streaming platforms (Kafka)