Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curationDesign and optimize data models, feature stores, and storage patterns for AI/ML workloadsImplement 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 environmentsDesign and implement AI systems architecture best practices and standards across the organizationBuild scalable, resilient cloud and on-premise systems for hosting AI/LLM applicationsProvide infrastructure design, optimization, and monitoring supportTranslate business requirements into technical solutions through cross-functional collaborationEnsure code quality, system reliability, scalability, and observabilityAdvanced Python proficiency with solid 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 lifecycleHands-on experience building LLM applications, RAG pipelines, and agentic AI frameworks (LangChain/LangGraph preferred)Expertise designing distributed systems at enterprise scaleStrong CI/CD and DevOps knowledge (GitHub/GitHub Actions, Docker, Kubernetes)Experience with event streaming platforms (Kafka)Demonstrated ability to design and deploy hybrid cloud and on-premise systems (AWS, Azure)Excellent collaboration and communication skills across engineering, research, and product teamsSelf-directed problem-solving mindset and ability to navigate enterprise complexityMaster's degree in Computer Science, Software Engineering, or related field with 5+ years in data/software/ML/AI engineering (preferred) #J-18808-Ljbffr

📌 Gen Ai Engineer (Halifax Regional Municipality)
🏢 Smart IT Frame
📍 Halifax Regional Municipality