
Principal Engineer
15 hours ago
Principal Engineer – AI Systems and Automation
We're seeking a Principal Engineer with deep expertise in Python and JavaScript to join a high-impact Data Teamfocused on building scalable systems that process restaurant menu data using Large Language Models (LLMs) and AI Agents.
This role sits at the intersection of AI and data engineering, driving automation, model integration, and intelligent task orchestration to improve the speed, accuracy, and intelligence of menu ingestion pipelines.
Key Responsibilities
- Own and extend existing software tools and systems to accelerate menu data workflows.
- Contribute to pipelines that match restaurant menu items to alcohol beverage products in a proprietary database.
- Design and implement scalable back-end services in Python for data extraction, transformation, and classification.
- Collaborate with data scientists and ML engineers to integrate and productionize LLM-based pipelines.
- Develop and manage agent-based orchestration workflows (e.g., LangGraph or similar).
- Optimize data pipelines for performance, robustness, and cost-efficiency.
- Write clean, well-tested, maintainable code; participate in code reviews and mentor junior developers.
Requirements
- 7+ years of professional software development experience.
- Advanced proficiency in Python and JavaScript.
- Strong working knowledge of PostgreSQL (complex queries, indexing, performance tuning).
- Practical experience with Snowflake for data warehousing and analytics.
- Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, etc.).
- Experience building and scaling data-intensive applications.
- Familiarity with LLM frameworks (LangChain, LangGraph, OpenAI API).
- Experience with cloud platforms (AWS or GCP) in production.
- Familiarity with agent-based orchestration or workflow tools.
- Experience working with structured and unstructured data (JSON, HTML, PDFs).
- Excellent debugging and problem-solving skills.
- Proficiency with Jira for agile collaboration.
Nice to Have
- Experience with vector databases, embeddings, and semantic search.
- Familiarity with web scraping frameworks like Playwright and Scrapy.
- Additional knowledge of Snowflake.
- Experience with cloud platforms (AWS, GCP, or Azure).
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