AI engineer in legal tech

Eltemate; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Гибкий график

Удаленная работа

Конкурентная оплата

Job summary

ELTEMATE ищет опытного инженера по искусственному интеллекту для разработки и эксплуатации агентно-ориентированных AI-продуктов. Ваша работа будет включать создание систем на базе foundation моделей, интеграцию API и сопровождение сервисов бэкэнда.

Требуется опыт работы с Python, ML/AI и deployment, гибкий подход к выбору моделей и обеспечение безопасности и устойчивости решений. Приветствуется опыт в юридической сфере и международных проектах.

Qualifications

• Опыт разработки с Python в ML/AI не менее 3 лет.
• Опыт работы с LLM/ foundation models.
• Опыт разработки API и сервисов.
• Опыт развёртывания production-сервисов с Docker, Kubernetes и FastAPI.
• Понимание MLOps, наблюдаемости, CI/CD.
• Опыт применения AI в юридическом/регуляторном контексте будет плюсом.

Responsibilities

• Проектировать, строить и эксплуатировать агентно-ориентированные AI-продукты и сервисы.
• Разрабатывать системы на основе foundation моделей, retrieval и multi-step orchestration.
• Оценивать качество, задержку, стоимость и безопасность моделей.
• Писать чистый Python для инференса, обработки данных, API.
• Создавать guardrails, human-in-the-loop и observability.
• Интегрировать AI-возможности в существующие продукты и бэкенд.
• Выбирать модели и балансировать проприетарное и open-weight.
• Сотрудничать с командами инжиниринга, продукта, юриспруденции и данных.
• Поддерживать производство и улучшать точность и устойчивость систем.
• Участвовать в техническом руководстве и внедрении ответственного AI.

Skills

Python

Machine learning

AI engineering

APIs design

Testing

Data structures

Cloud platforms

Tools

FastAPI

Docker

Kubernetes

CI/CD

AWS

Azure

Google Cloud

Job description

Описание:

ELTEMATE is a Hogan Lovells legal technology company. We make clients’ lives easier by delivering practical solutions to complex, everyday legal problems. We combine a deep understanding of legal work with the speed and ambition of a technology company. Our portfolio spans artificial intelligence, eDiscovery, information analysis, regulatory intelligence, deal rooms, workflow and case management, document automation, risk assessment, reporting, and legal applications. We are looking for a passionate Senior AI Engineer to design, build, and operate intelligent products in the age of agentic software development.

Задачи:

Design, build, and operate agentic AI applications, workflows, and services. Develop systems using foundation models, open-weight models, retrieval, tool use, structured outputs, and multi-step orchestration. Evaluate model and agent behavior for quality, reliability, latency, cost, safety, and business impact. Write clean, maintainable, production-ready Python for inference, data processing, APIs, evaluation, and deployment. Build guardrails, human-in-the-loop controls, observability, and failure-recovery mechanisms for AI systems. Develop APIs and integrate AI capabilities into existing products and backend services. Select the right model for each use case, balancing proprietary and open-weight alternatives. Prototype quickly, validate ideas with users, and turn successful experiments into scalable products. Monitor production systems and continuously improve their accuracy, robustness, and performance. Collaborate across engineering, product, legal, security, and data teams. Contribute to technical direction, engineering standards, and responsible AI practices. Use AI-assisted development tools thoughtfully to increase delivery speed without compromising quality.

Требования:

At least three years of professional experience with Python, machine learning, or AI engineering. Strong Python skills and solid knowledge of software architecture, algorithms, data structures, testing, and API design. Hands-on experience building applications with large language models or other foundation models. Experience with agentic patterns such as tool calling, retrieval-augmented generation, planning, memory, workflow orchestration, or multi-agent systems. Experience evaluating AI systems using automated tests, benchmarks, human review, and production feedback. Familiarity with open-weight models, including model selection, serving, fine-tuning, quantization, or optimization. Experience deploying and maintaining production services using technologies such as FastAPI, Docker, and Kubernetes. Knowledge of MLOps and modern engineering practices, including CI/CD, observability, versioning, experimentation, and model monitoring. Experience with at least one major cloud platform: AWS, Azure, or Google Cloud. Awareness of AI security, privacy, governance, and responsible deployment. Strong written and verbal communication skills, including the ability to explain technical decisions to non-technical colleagues. An ownership mindset: you clarify the problem, make sound decisions, follow through, and ship meaningful outcomes. Будет плюсом: Experience applying AI to legal, regulated, security-sensitive, or document-intensive domains; Familiarity with unstructured documents, semantic search, knowledge graphs, or document intelligence; Experience running or optimizing large models at scale; Knowledge of distributed systems and high-availability service design; Experience with Rust, Go, or C++ for performance-critical components; Contributions to open-source AI or machine-learning projects; Experience conducting red-team exercises or building safeguards for AI applications

Условия:

A competitive salary and benefits package. Flexible working hours and a remote-friendly culture. The opportunity to build practical AI products with meaningful real-world impact. Access to cutting-edge technologies and challenging legal and enterprise use cases. A talented, collaborative, and international team. An environment where initiative is encouraged and your contributions directly shape our products.