2 дня назад
Lead Software Engineer (AI)
150 000 - 224 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Software Engineer (AI): Building agentic software for Gavel, including LLM-powered agents, context pipelines, evaluation platforms, and Microsoft Word and web experiences with an accent on full-stack ownership, retrieval, evaluation, and production reliability. Focus on designing multi-step agent orchestration, measuring non-deterministic model quality, and leading a small team while shipping cloud-native systems.
Location: Hybrid/remote; remote work is available within the United States, or the role may be based in Seattle or Chicago.
Salary: $150,000–$224,000 annual base salary, plus an annual performance bonus and long-term incentives.
Company
builds AI-powered, cloud-based legal data intelligence software for litigation, investigations, regulatory inquiries, and other high-stakes legal work.
What you will do
- Own the technical roadmap and delivery for a major area of Gavel across the front end, agent harness, and data layer.
- Design and build agentic capabilities, including tool definitions, prompts, context assembly, structured outputs, guardrails, evaluation sets, and Word and web experiences.
- Run evaluation and release cycles, analyze acceptance rates and model-quality changes, and determine production readiness.
- Build and operate cloud-native services with feature-flagged deployments, monitoring, observability, and rollback processes.
- Lead design reviews, establish coding and testing standards, mentor engineers, participate in hiring, and collaborate with product, design, platform, identity, and security teams.
Requirements
- 8+ years of experience building production software in service-oriented, continuously deployed teams, including at least 1 year shipping LLM-based products or features to real users.
- Experience building full-stack web and agentic applications with tool use, function calling, multi-step orchestration, structured outputs, retries, failure handling, and debugging of non-deterministic systems.
- Practical experience with evaluation sets, metrics, LLM-as-judge methods, and connecting offline results to online outcomes.
- Knowledge of retrieval and context engineering, including embeddings, hybrid search, chunking, ranking, and context budgeting.
- Experience with AWS or Azure, containers, CI/CD, infrastructure as code, production observability, and at least one of TypeScript or Python; ability to work with React, Node or Python services, and PostgreSQL.
- Experience leading a small engineering team while continuing to deliver production code, with strong communication and problem-solving skills.
Culture & Benefits
- Work on legal technology that helps customers organize data, discover the truth, and act with confidence in high-stakes matters.
- Build distributed, cloud-native systems that process large volumes of complex data.
- Collaborate in a knowledge-sharing culture focused on continuous improvement and inclusive teamwork.
- Benefits include competitive compensation, paid time off, parental leave, and an equity program.
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