JD-2025-AIML-1: Senior AI/ML Engineer – Agentic AI
5 days ago
Location Toronto, ON (Hybrid) Client Applab/Loblaws Contract Duration 1 year About the Role Loblaws Digital is hiring a Senior AI/ML Engineer with a strong emphasis on Agentic AI systems. This role focuses on building production-grade multi‑agent workflows, LLM‑powered automation, and scalable ML infrastructure on GCP. You will work on next‑generation AI capabilities including Agentic AI, LangGraph‑based pipelines, RAG architectures, and enterprise ML platforms supporting real‑world retail and supply chain use cases. This is a high‑priority hire and we are moving fast. MUST‑HAVE Requirements (Non‑Negotiable) Agentic AI & LLM Development Hands‑on experience building Agentic AI systems using: LangGraph (mandatory) LangChain / LangSmith / LangServe Proven experience deploying LLM applications in production (not just POCs). Expertise in RAG pipelines, vector DBs (FAISS, Pinecone, Chroma, pgvector), memory models. Advanced Python development for AI systems (FastAPI, async workflows, microservices). Hands‑on production experience with GCP: BigQuery BigTable Cloud Composer (Airflow) Deep understanding of ML Ops / LLMOps: CI/CD (GitHub Actions, Cloud Build, Jenkins) Experience Level 5+ years of ML/AI engineering 2+ years specifically with LLMs / Agentic AI Experience working in enterprise or production‑scale environments What You’ll Do Agentic AI & LLM Engineering (Primary Focus) Build multi‑agent AI workflows using LangGraph and advanced orchestration patterns. Implement RAG pipelines, long‑term memory, and LLM‑driven automation for enterprise workflows. Fine‑tune, evaluate, and optimize LLMs for low latency and high reliability in production. ML Platform & Infrastructure Architect and maintain scalable ML/LLM infrastructure on GCP. Integrate ML workflows via Cloud Composer (Airflow) and standardized pipelines. Optimize cloud compute/storage for performance and cost. Build automated, self‑service tooling for Data Scientists and ML Engineers. Implement observability: tracing, logging, monitoring, and failover strategies. Soft Skills & Team Fit Strong communicator; able to partner effectively with DS, DE, and product teams. Curious, experimental thinker who explores new AI patterns. Independent owner capable of leading complex initiatives from ideation to production. Customer‑first mindset to reduce friction for ML practitioners. Qualifications Bachelor’s or Master’s degree in CS, Engineering, AI/ML (mandatory due to vendor requirement). Strong foundation in ML fundamentals, distributed systems, and cloud‑native engineering. Experience deploying scalable AI/ML solutions in production environments. Seniority level Mid‑Senior level Employment type Contract Job function Information Technology Industries Information Services #J-18808-Ljbffr
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Toronto, Ontario, Canada Amyantek Full time $100,000 - $150,000 per yearJD-2025-AIML-1: Senior AI/ML Engineer – Agentic AILocation: Toronto, ON (Hybrid)Client: Applab/LoblawsType: Full-time Team: Machine Learning Platform / Digital & DataAbout the RoleLoblaws Digital is hiring a Senior AI/ML Engineer with a strong emphasis on Agentic AI systems. This role focuses on building production-grade multi-agent workflows, LLM-powered...
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Toronto, Canada Amyantek Full timeLocation Toronto, ON (Hybrid) Client Applab/Loblaws Contract Duration 1 year About the Role Loblaws Digital is hiring a Senior AI/ML Engineer with a strong emphasis on Agentic AI systems. This role focuses on building production-grade multi‑agent workflows, LLM‑powered automation, and scalable ML infrastructure on GCP. You will work on next‑generation...
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