5 часов назад
Applied AI Engineer
190 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (LLM/legal AI): Design and ship enterprise-grade AI agents and LLM-backed workflows for high-stakes legal processes with an accent on retrieval, memory, evaluation, feedback loops, and production reliability. Focus on building prompt optimization pipelines, benchmarking agent performance, integrating AI into live systems, and deriving insights from unstructured legal data.
Location: New York City, hybrid; typically in-office 3–4 days per week
Salary: $190,000–$250,000 per year for Senior Engineer or $240,000–$280,000 per year for Staff Engineer, plus equity
Company
is an agentic law company that develops proprietary no-code tools for building and supervising domain-specific AI agents and powers an affiliated AI-native law firm.
What you will do
- Design, build, and iterate on enterprise-grade AI agents for high-stakes legal workflows.
- Build and integrate LLM-backed workflows covering prompt systems, retrieval, memory, evaluation, and feedback loops.
- Develop AI workflows and production functionality in collaboration with software engineering, legal engineering, and product teams.
- Oversee data collection, experimentation, and analysis with legal domain experts.
- Build benchmarks and evaluation suites to measure and improve AI agent performance.
- Engineer context structures, prompt optimization pipelines, memory, feedback, and client-specific preferences.
Requirements
- 4+ years of experience as a software engineer, applied AI engineer, ML engineer, or data scientist.
- Strong Python programming skills and proficiency with Docker, Postgres, and Redis.
- Experience operating production systems, including debugging, monitoring, and iteration on live software.
- Experience with AI/ML infrastructure and integrating LLM, classical ML, or hybrid components into real-world systems.
- Willingness to work with TypeScript and React to productize research-driven initiatives.
- Strong reading, writing, quantitative, and data-driven problem-solving skills, with willingness to develop legal and compliance expertise.
Nice to have
- Familiarity with current AI research and traditional ML systems applied to state-of-the-art LLMs.
- Experience extracting insights from PDFs and other unstructured or semi-structured data.
- Experience with context engineering, AI agent memory, and uncertainty modeling in ML systems.
Culture & Benefits
- AI fluency is expected, including practical day-to-day use of AI tools, workflows, and problem-solving methods.
- Fast-paced learning environment with ongoing professional growth.
- Competitive base salary, equity compensation, and a 401(k) plan with employer match.
- Health, dental, hospital, accident, and vision insurance coverage.
- Relocation reimbursement is available for candidates moving to New York City.
Hiring process
- Be prepared to demonstrate and discuss practical AI usage, including tools, workflows, and outcomes, throughout the interview process.
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