ai engineer for drug development

Enfint

Barcelona

Presencial

EUR 55.000 - 75.000

Jornada completa

14 días+

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Ventajas ofrecidas por este puesto de trabajo

Health coverage
Company events
MacBook provided
Pet-friendly office

Descripción de la vacante

Biorce, Healthtech-компания, ищет инженера ML/софт для проектирования и внедрения многошаговых AI‑рабочих процессов, используя LangGraph или аналогичные фреймворки. Ваша задача — управлять состоянием, циклами и условиями, разворачивать LLM‑модели в продакшене и строить RAG‑пайплайны.

Кандидат будет работать с Vertex AI, LangChain, инструм. управления данными Google Cloud, а также разрабатывать и оценивать инструменты для минимизации ошибок и повышения точности.

Formación

  • 2/3+ лет опыта в разработке ПО или ML-инженерии.
  • Хотя бы 1 год практического опыта внедрения LLM‑приложений в продакшн.
  • Опыт работы с инструментами оркестрации LangGraph, LangChain, CrewAI или Vertex AI Agent Builder.
  • Опыт работы в экосистеме GCP: Vertex AI Studio, Cloud Run, BigQuery, Cloud Storage.

Responsabilidades

  • Разрабатывать сложные AI‑рабочие процессы с использованием LangGraph или аналогичных фреймворков.
  • Разрабатывать, тестировать и версионировать продвинутые подсказки, Few-shot, Chain-of-Thought и ReAct.
  • Использовать инструменты Vertex AI для оптимизации инструкций и управления ими.
  • Строить и поддерживать RAG‑пайплайны: парсинг документов, оптимизация embedding‑ов, управление векторной БД.
  • Настраивать автоматические системы оценки качества вывода: оценка Hallucination, groundedness и релевантности.

Conocimientos

Software/ML engineering experience
LLM-based apps deployment
Prompt engineering
CI/CD practices

Herramientas

LangGraph
LangChain
CrewAI
Vertex AI Agent Builder
Vertex AI Suite

Descripción del empleo

Описание

Biorce is a Healthtech company using AI to accelerate drug development, improve patient outcomes, and expand access to cost-effective treatments. Its team combines clinical research professionals, data scientists, and AI experts to connect advanced technology with real-world clinical needs.

Задачи
  • Design and implement complex, multi-step AI workflows using LangGraph or similar frameworks to manage state, loops, and conditional logic;
  • Develop, test, and version-control advanced prompts, Few-shot, Chain-of-Thought, and ReAct;
  • Use Vertex AI's Help me write and prompt optimization tools to refine system instructions;
  • Build and maintain Retrieval-Augmented Generation (RAG) pipelines, including document parsing, embedding optimization, and vector database management;
  • Establish automated evaluation frameworks using the Vertex AI Gen AI Evaluation Service to measure hallucination rates, groundedness, and relevancy.
Требования
  • 2/3+ Years of experience in software or ML engineering;
  • At least 1 year of hands-on experience building and deploying LLM-based applications in production;
  • Experience with orchestration tools such as LangGraph, Stateful Actors, LangChain, CrewAI, or Vertex AI Agent Builder;
  • Experience with the GCP ecosystem, including Vertex AI Studio, Cloud Run, BigQuery, and Cloud Storage;
  • Advanced RAG techniques, Hybrid search, Parent-Document Retrieval, and Query expansion;
  • Deep understanding of conversational state and memory in complex, non-linear AI graphs, cycles, nodes, and edges;
  • Ability to apply software engineering practices to AI engineering, including CI/CD, prompt unit testing, and structured logging with Cloud Trace and Cloud Logging;
  • Nice to have: experience designing agentic workflows using LangGraph or similar frameworks, prompt engineering and optimization including Few-shot, Chain-of-Thought, and ReAct, building and maintaining RAG pipelines, establishing LLM-as-a-Judge evaluation frameworks, and using Vertex AI Gen AI Evaluation Service to measure hallucination rates, groundedness, and relevancy.
Условия
  • Comprehensive private health coverage;
  • Company events;
  • MacBook provided;
  • Pet-friendly office.
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