Applied AI Engineer
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Job Description
Applied AI Engineer at Stealth Co. building scalable document processing pipelines and integrating LLM workflows for legal tech.
Responsibilities:
- Build, maintain, and scale document ingestion + processing pipelines (PDFs, structured/unstructured docs)
- Integrate and productionize LLM-powered workflows (extraction, classification, summarization, validation)
- Improve accuracy, reliability, and cost/performance of models and pipelines
- Collaborate with product and engineering to turn customer needs into shipped features
- Add evaluation, monitoring, and feedback loops to continuously improve outputs
Requirements:
- Strong Python engineering skills (production-quality code, testing, debugging)
- Hands-on applied ML experience, especially NLP / document AI
- Experience with LLM integration (prompting, structured output, tool/function calling, retrieval)
- Comfortable owning features end-to-end: from prototype → production → iteration
- Product-focused mindset (shipping, measuring impact, iterating fast)
- Experience with OCR, layout parsing, entity extraction, or citation/provenance workflows (nice to haves)
- Familiarity with cloud infrastructure and deployment (e.g., Docker, Cloud Run, AWS/GCP)
- Experience building evaluation harnesses for LLM quality (gold sets, metrics, regression testing)
- Prior work in legal tech, compliance, or other high-accuracy domains
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