2 дня назад
Staff AI Engineer (Architecture)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Engineer (Architecture): Building and scaling production-grade agentic AI systems and LLM capabilities for an insurance SaaS platform with an accent on agentic frameworks, LLM orchestration, MCP, RAG, and Azure microservices. Focus on designing reliable AI architectures, implementing LLMOps and observability, optimizing latency and token usage, and mentoring engineering squads.
Location: Any Shift location; France — Paris. Flexible remote and hybrid working options are available.
Company
builds an AI-driven SaaS platform that transforms critical insurance workflows with accurate, explainable, and secure AI.
What you will do
- Design, prototype, and build production-ready agentic workflows, orchestration layers, and tool-calling integrations.
- Move AI prototypes into scalable, low-latency microservices on Azure and integrate them with the broader technology stack.
- Implement MCP, advanced RAG patterns, vector pipelines, and structured LLM outputs.
- Establish LLMOps practices for experiment tracking, evaluations, prompt engineering, latency optimization, token governance, and model observability.
- Lead technical design reviews, define coding standards, and mentor agent-focused engineering squads.
- Benchmark emerging models, tools, and architectures and translate relevant advances into production implementations.
Requirements
- Hands-on experience with agentic frameworks such as Microsoft Agent Framework, LangGraph, LlamaIndex, OpenAI Agents SDK, or custom orchestration frameworks.
- Practical experience with MCP, tool and function calling, structured LLM outputs, embeddings, vector retrieval, hybrid search, and complex RAG pipelines.
- High proficiency in Python and strong object-oriented programming experience.
- Experience building backend microservices and REST/OpenAPI endpoints in Azure.
- Knowledge of vector and relational databases, event-driven patterns, Docker, Kubernetes, CI/CD, testing, and Infrastructure as Code with Terraform or Bicep.
- Experience with LLM evaluation, prompt engineering, tracing, context-window optimization, and production compute or token governance.
Culture & Benefits
- Flexible remote and hybrid working options.
- Competitive salary with a variable component tied to individual and company performance.
- Learning and development opportunities, including monthly Focus Fridays.
- Generous paid time off and paid holidays.
- Mental health benefits and two paid volunteering days per year.
- Additional country-specific benefits may be available based on eligibility.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →