(EN) Datmos brings together passionate experts who combine creativity and data to craft inspiring eCommerce experiences.

Driven by a shared passion for excellence, we help visionary brands grow by aligning commerce strategy, digital experience, and technology implementation to deliver innovative, data-driven digital commerce solutions.

(FR) Datmos réunit des experts passionnés qui combinent créativité et data pour imaginer des expériences e-commerce inspirantes.Portés par une même passion pour l’excellence, nous aidons les marques à croître en alignant stratégie commerciale, expérience numérique et mise en œuvre technologique, afin de livrer des solutions de commerce digital innovantes et centré sur la donnée.

(EN) Datmos brings together passionate experts who combine creativity and data to craft inspiring eCommerce experiences.

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Pour la version en Français cliquez sur Postuler.

Datmos is hiring an AI Engineer !

Reporting to the Director of AI, the AI Engineer is responsible for the technical architecture of our intelligence systems, focusing on the design and implementation of agentic workflows and RAG systems. You translate the AI strategy into functional logic, ensuring that models produce precise, secure, and scalable results. As a technical lead, you set the standards for model selection and prompt engineering while mentoring others on the team. You collaborate closely with developers to integrate these "brains" into final products and stay at the cutting edge of model performance and optimization.

Key Responsibilities :

* Agentic System Design: Develop and optimize complex, multi-step agentic workflows that allow AI to perform autonomous tasks and decision-making.

* RAG Architecture: Design and maintain Retrieval-Augmented Generation systems to connect LLMs with proprietary data securely and accurately.

* Model Selection & Tuning: Evaluate and configure various LLMs (OpenAI, Claude, Llama) based on specific project constraints like latency, cost, and data privacy.

* Advanced Prompt Engineering: Establish standards for instruction design to ensure model outputs are reliable, safe, and contextually aware.

* Context & Memory Architecture: Design short-term and long-term memory strategies for agentic systems, including conversation summarization, vector store management, and session state handling.

* Guardrails & Safety Systems: Implement input/output validation layers, content filtering, and fallback logic to ensure model outputs remain within acceptable boundaries for client-facing applications.

* AI Observability & Logging: Instrument AI pipelines with tracing, logging, and monitoring tooling (e.g., LangSmith, Langfuse) to debug production failures and track model drift over time.

* Technical Best Practices: Document workflows for AI logic and create reusable templates for prompt chains and model configurations.

* Continuous Innovation: Experiment with new frameworks to improve the sophistication of our AI offerings.

Required Skills & Competencies :

* Agency Experience: 3+ years of experience in an agency environment (or fast-paced consulting).

* AI Proficiency: Demonstrated interest in AI tools with at least 2-3 documented use cases applied to current or past projects.

* Experience: 5+ years in software engineering, with strong coding skills (Python/Backend).

* Technical Depth: Experience with Agents, MCP, or AI related software orchestration, Datalakes( BigQuery, Databricks, Snowflake )

* LLM Proficiency: Advanced knowledge of prompt engineering techniques and the specific nuances/strengths of major foundational models.

* Cloud : Development of cloud architectures that are optimized for real-time & AI

* Orchestration Frameorks: Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or custom tool-calling implementations using native model APIs.

* Vector Database Expertise: Practical experience with vector stores (Pinecone, Weaviate, pgvector, ChromaDB) including indexing strategies, similarity search tuning, and hybrid retrieval approaches.

* Fine-Tuning & Adaptation: Familiarity with parameter-efficient fine-tuning methods (LoRA, QLoRA) and when to apply fine-tuning vs. prompt engineering vs. RAG for a given use case.

* AI Security: Understanding of prompt injection, jailbreaking vectors, and data leakage risks specific to LLM applications — and the ability to design mitigations at the architecture level.

* System Architecture: Ability to design scalable technical workflows that handle high-volume AI requests efficiently.

* Problem-Solving: Strong ability to debug "black box" model behaviors and iterate until precision benchmarks are met.

* Relevant certifications (an asset)

Joining Datmos is :

Reaching your full potential :

* Challenge yourself: By working with major groups and well-known brands in North America (e.g., Group CH, Five Below, Skullcandy, Yeti Cycles, Casper, Jackson Mountain Resort, and many others), as well as with renowned digital partners such as Bloomreach, Shopify, Big Commerce, Akeneo, Klaviyo, Adobe, etc.

* Contribute to the evolution of our vision: Bring your innovative ideas and expert perspective.

* Learn from the best: Come work with over 100 certified experts in one of the most recognized agencies in the market.

* Push yourself by developing your expertise: Access all the certifications you want and train while being paid.

Putting yourself first :

* Access to health Insurances paid in part by the employer (Group insurance for you and your family).

* Vacations and mobile days to take some rest.

* Disconnection policy to promote work-life balance

* Flexibility in your work location and your work hours (Offices in the US and Canada or possibility to work 100% remote)

* Access to a recognition program in the form of gift cards or donations to associations.

*Datmos has been recognized as one of the best workplaces in Canada by Great Place to Work since 2022.

Don’t wait any longer and join the team!

AI engineer | Ingénieur en IA

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