Principal AI & Data Engineer
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Job Description
Principal AI & Data Engineer at US Signal designing and implementing data architectures for AI applications. Working with operational data to build accessible and actionable systems for the business.
Responsibilities:
- 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
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