AI Forward Deployed Engineer - CRM & Marketing

3 months ago

Remote, CanadaMid Level

Responsibilities

Build and ship agentic and generative AI features for CRM and marketing in production.
Develop Python and FastAPI backends and Next.js frontends for AI-powered customer experiences.
Implement personalization and decisioning, including next-best-offer, recommendations, audience segmentation, and value-based segmentation.
Generate and optimize localized, on-brand, and responsible-gaming-compliant lifecycle and marketing content with LLMs.
Model customer lifecycle states and journeys and identify growth levers affecting retention and LTV.
Integrate Braze Canvas and Journey orchestration and synchronize lifecycle state to user profiles.
Build RAG, vector search, and MCP server foundations over Snowflake and dbt data marts.
Measure acquisition, retention, and LTV impact through attribution, ROAS, and treated-versus-holdout experiments.
Ship reliably in production while incorporating advances in AI and marketing technology.

At least 4 years of software or AI engineering experience, or a relevant degree.
Strong Python skills and experience building and operating production services, REST APIs, microservices, and containers.
Hands-on experience integrating Anthropic Claude, OpenAI GPT, Amazon Bedrock, or comparable LLMs, including prompt and system-prompt engineering.
Familiarity with RAG and vector databases such as Pinecone, Faiss, or pgvector.
Strong SQL skills and experience with a modern cloud data warehouse, preferably Snowflake.
Hands-on experience with a CRM or marketing-automation platform, preferably Braze.
Working knowledge of customer lifecycle, segmentation, personalization, and LTV.
Experience with AWS, GCP, or Azure and associated AI and ML services.
Preferred experience with MCP, ADK, n8n, dbt, analytics engineering, data-quality testing, React or Next.js, Kubernetes, Helm, OAuth2, Entra, recommendation systems, marketing attribution, or generative content at scale.

1,001-5,000 employees