7 дней назад
Software Engineer - AI Platform (Senior-Staff)
160 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer - AI Platform (Senior-Staff) (LLM pipelines and legaltech): Building production AI systems that turn medical records and claim files into structured, reliable data with an accent on document extraction, evaluation, and review workflows. Focus on improving model accuracy, validating structured outputs, managing prompt versions, and optimizing reliability, cost, and latency.
Location: Richmond, VA, United States
Salary: $160,000–$220,000 per year, plus bonus and benefits.
Company
provides an AI-powered platform that helps law firms analyze mass tort cases, accelerate settlement decisions, and manage high-volume legal inventories.
What you will do
- Build and operate LLM-backed pipelines for document extraction, classification, and validation.
- Develop evaluation datasets, regression suites, and business-focused accuracy metrics.
- Build review workflows for confirming and correcting AI-generated output.
- Own production reliability through prompt versioning, structured output validation, retries, fallbacks, and cost and latency management.
- Partner with the litigation management team to identify high-value AI applications.
Requirements
- Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience.
- 6+ years of software engineering experience with strong fundamentals.
- Production experience with LLM APIs, including prompting, structured outputs, retrieval, and tool use.
- Experience working with messy real-world data, including OCR PDFs, scanned faxes, and handwritten forms.
- Strong communication skills and the ability to collaborate with technical and non-technical stakeholders.
Nice to have
- Experience working with Scala, TypeScript, PostgreSQL, GraphQL, Elasticsearch, or AWS.
Culture & Benefits
- Collaborative, high-ownership environment focused on solving complex, high-stakes problems.
- Transparent, thoughtful, and authentic communication.
- Performance-based incentives and comprehensive benefits.
- Compensation practices focused on fairness, transparency, pay equity, and market alignment.
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