Senior AI Applications Engineer

Senior AI Applications Engineer

About Us

Data and cannabis are both complex; Hoodie Analytics makes them simple. Our SaaS platform delivers comprehensive cannabis market intelligence to dispensaries, brands, and analysts nationwide. With industry-leading data coverage and advanced machine-learning technology, we transform fragmented market signals into clear, actionable insights.

The Role

We’re hiring a Senior AI Applications Engineer to lead the design and development of Hoodie’s next generation of generative-AI capabilities. In this role, you’ll own the architecture, implementation, and deployment of RAG pipelines, intelligent agent workflows, and LLM-powered product features across our analytics ecosystem.

This is a senior individual-contributor role with substantial autonomy and end-to-end ownership. You’ll partner closely with our Head of Engineering to establish foundational AI systems and expand Hoodie’s product capabilities through intelligent automation and data-driven insights.

What You’ll Do

Architecture & Technical Strategy

• Define technical standards and architecture for Hoodie’s generative-AI systems.
• Evaluate and select AI frameworks, vector stores, embedding models, orchestration tools, and observability platforms.
• Establish best practices for retrieval, prompting, model evaluation, and agent orchestration.

Implementation & Deployment

• Build and maintain production-grade RAG pipelines, embeddings, and retrieval logic.
• Develop AI-driven agent workflows using modern automation/orchestration frameworks.
• Integrate LLM-powered features into customer-facing applications and internal systems.
• Deploy and monitor AI features with attention to reliability, latency, observability, and cost effectiveness.

Optimization & Ongoing Improvement

• Diagnose and resolve issues across RAG pipelines, vector databases, workflow engines, and LLM integrations.
• Improve performance through prompt refinement, retrieval tuning, caching, data quality improvements, and system-level optimizations.
• Mentor engineers on AI concepts, architectural patterns, and tooling.

What We’re Looking For

• 5 years of professional software engineering experience.
• Proven experience shipping production-grade LLM-powered or agent-based applications.
• Deep understanding of embeddings, vector databases, RAG architectures, and LLM retrieval strategies.
• Strong Python skills; experience with modern development, testing, and packaging practices.
• Solid TypeScript/Node.js proficiency.
• Experience with SQL and modern databases (e.g., PostgreSQL, Snowflake, ElasticSearch).
• Familiarity with cloud platforms (AWS or similar) and modern MLOps concepts.
• Experience with workflow/agent-automation tools (e.g., LangChain, LlamaIndex, n8n, Flowise, or similar).

Cannabis-industry experience is a plus, but not required.

What We Offer

• Competitive salary and performance incentives.
• Comprehensive health and dental coverage.
• Flexible work arrangements.
• A collaborative, fast-paced environment with real product ownership.
• Opportunities to work with modern AI systems in a rapidly evolving market.

How to Apply

If this role excites you, we’d love to hear from you. Click the button below and apply—your work will meaningfully shape the future of data in the cannabis industry.

Pay range and compensation package

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package including health and dental insurance.
• Flexible work arrangements.
• A collaborative, innovative work environment that values professional growth.
• Opportunities to work on cutting-edge technologies and products that make a difference.