Assess and rationalize the enterprise data warehouse; design and implement a governed semantic layer using dbt
Design and deploy production LLM applications on the org's data fabric — prompt engineering, model integration, shipped systems
Build text-to-SQL and natural language interfaces that let business users query operational data through conversational AI
Architect RAG pipelines end-to-end: vector store design, chunking strategy, embedding model selection, internal and customer-facing deployment
Engineer and orchestrate multi-agent systems for enterprise workflow automation, including framework selection and API integration

Requirements

8+ Years Experience applying machine learning and AI in production environments, with a demonstrated track record of shipping scalable, reliable systems beyond the prototype stage.
Deep proficiency with LLM frameworks (e.g., LangChain, LlamaIndex), agentic architectures, and RAG pipeline design, including vector databases, embedding models, and retrieval optimization.
Strong Python fluency with practical experience across the modern data stack, including data warehousing platforms, orchestration tooling, and semantic layer frameworks such as dbt.
Proven ability to own and deliver end-to-end production systems independently, with evidence of technical leadership and accountability for architecture decisions in fast-paced environments.

Benefits

Generous paid time off policy, including vacation and 10 paid holidays
Competitive and comprehensive medical, dental, and vision benefits plans with Flexible Spending benefits including medical/dental expenses and dependent care
401(k) retirement plan with a generous contribution
Group Term Life Insurance covered 100% by employer
Wellness Incentive to promote overall employee well-being
Paid volunteer time
Business casual dress code

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAILLM frameworksLangChainLlamaIndexRAG pipeline designvector databasesembedding modelsPythondata warehousing

Soft Skills

technical leadershipaccountabilityindependenceproblem-solvingcommunication