Staff AI Engineer building reliable, observable agentic AI workflows for Acquia’s enterprise digital experience platform. Architecting multi - agent systems with Python, LangGraph, Temporal, Pydantic, and LangFuse.
About the role
- Senior AI/ML Developer at Tecsys leveraging AI/ML technologies for supply chain innovations. Collaborating with development teams to enhance operational efficiency with advanced data solutions.
Responsibilities
- You will be the AI expert on the team and work closely with development teams to drive the creation of new features and provide actionable business insights to our clients and end users.
- You will identify, coordinate, and develop data science solutions to build predictive and prescriptive models, and design AI/ML/agent solutions using data pipelines to solve supply chain problems.
- You will also contribute to the design and development of production-quality AI systems, including LLM-based features, retrieval-augmented generation (RAG) pipelines, and multi-step agent workflows.
- You will help transform experimental AI capabilities into reliable, scalable, and measurable product features.
- Although end-to-end solution deployment and lifecycle management are not your primary responsibility, you will contribute to the process, including developing tools to evaluate model effectiveness.
Requirements
- You hold a Master’s degree in Computer Science or a related discipline (e.g., Engineering, Physics, Applied Mathematics, Statistics).
- You have proven experience converting business problems into mathematical representations to drive AI/ML algorithms.
- You are an expert in Python with demonstrated experience using supervised, unsupervised, and semi-supervised machine learning solutions.
- You are proficient in statistical models, optimization and mathematical programming (OR), metaheuristics, and deep reinforcement learning, and know how to apply them to create business value.
- You have hands-on experience designing and implementing modern AI systems, including LLM-based applications, prompt engineering, and retrieval-based systems.
- You can evaluate and monitor AI systems, including defining accuracy, validation, and performance metrics over time.
- You are well-versed in the data science ecosystem (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, etc.).
- You have solid experience with cloud-based AI/ML solutions (e.g., AWS, Azure, GCP).
- You can communicate technical concepts clearly to multidisciplinary teams, including management and non-technical stakeholders.
- You have at least 5–7 years of experience developing AI/ML-based solutions in Python.
- What could give you an advantage?
- Experience designing and deploying production AI systems (e.g., APIs, microservices, or agent-based systems)
- Familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph) and vector databases
- Experience with MLOps practices, including model and version management, evaluation pipelines, and monitoring
- Strong understanding of trade-offs inherent to AI systems (accuracy vs. latency vs. cost)
- Strong supply chain management experience
- Bilingual
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior AI Software Engineer developing scalable AI/ML features for Thomson Reuters’ legal, tax, compliance, and journalism information products. Productionizing models, APIs, and infrastructure while optimizing performance.
LP
AI professionals
LinkedIn Recruiter Post
Seeking experienced AI professionals for three roles in Toronto: Senior AI Engineer (Snowflake AI), Senior AI/Generative AI Engineer, and AI Governance Specialist.
Senior Applied AI Engineer building production AI agents for Tango Analytics’ real estate technology platform. Designing retrieval, evaluation, safety, and human - review capabilities for customer workflows.
Senior Applied AI Engineer building production AI agents for Tango Analytics’ real estate technology platform. Designing retrieval, evaluation, safety, and human - in - the - loop capabilities.
AI Platform Administrator configuring conversational AI, automation, integrations, and governance for ABC Fitness. Supporting software that helps fitness businesses manage clubs and engage members.
Applied AI Engineer building evaluation pipelines, production agents, and reliable clinical AI for Tali’s healthcare platform. Owning models, retrieval, routing, and observability across ambient scribe, billing, search, and clinical workflows.
Forward Deployed AI Engineer industrializing GenAI and agentic AI solutions for Keyrus Canada clients. Deploying measurable, governed AI systems across enterprise environments.
LP
GenAI Developer
LinkedIn Recruiter Post
TCS Canada is hiring recent graduates for GenAI Developer roles, focusing on Generative AI, LLMs, RAG, and AI Agents. Candidates will work on real - world AI solutions in an Agile environment.
Staff AI Engineer scaling safe, evaluated agentic AI across Maple’s Canadian on - demand healthcare platform. Defining architecture, governance, observability, and cost controls for product squads.