Mid-Level AI Engineer: Agentic LLM & RAG Systems

Biorce; Barcelona; Híbrido; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive private health coverage

Hybrid work model

MacBook for productivity

Pet-friendly office

Company events

Dynamic work environment with diverse team

Descripción de la vacante

A pioneering Healthtech company in Barcelona seeks a Mid-Level AI Engineer to design sophisticated AI systems. The role focuses on building advanced workflows, managing complex state in AI applications, and ensuring the reliability of generative features. Candidates should have 2-3 years of experience in software or ML engineering, with hands-on experience in deploying LLM applications. The position offers a hybrid work model and comprehensive health coverage.

Formación

• 2/3+ years of experience in software or machine learning engineering.
• Hands-on experience with deploying LLM-based applications.
• Deep understanding of state management in AI systems.

Responsabilidades

• Design and implement AI workflows using LangGraph.
• Develop and optimize advanced prompts.
• Build and maintain RAG pipelines for document parsing.
• Establish frameworks for LLM evaluation.

Conocimientos

LLM application deployment

Prompt engineering

AI workflows design

Data handling

Software engineering principles

Herramientas

LangGraph

Vertex AI Studio

BigQuery

Cloud Run

Cloud Logging

Descripción del empleo

About the company

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes.

Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs.

With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.

About the role

Mid-Level AI Engineer (Generative AI & Agents)

As an AI Engineer at Biorce, you will focus on building sophisticated AI systems that go beyond simple chat interfaces. You will be responsible for designing agentic workflows, managing complex state in LLM applications, and ensuring that our generative features are reliable, steerable, and scalable.

Key Responsibilities

• Agentic Orchestration: Design and implement complex, multi-step AI workflows using LangGraph or similar frameworks to manage state, loops, and conditional logic.
• Prompt Engineering & Optimization: Develop, test, and version-control advanced prompts (Few-shot, Chain-of-Thought, ReAct). Use Vertex AI's "Help me write" and prompt optimization tools to refine system instructions.
• RAG Pipeline Development: Build and maintain Retrieval-Augmented Generation (RAG) pipelines, including document parsing, embedding optimization, and vector database management.
• LLM Evaluation (LLM-as-a-Judge): Establish automated evaluation frameworks using the Vertex AI Gen AI Evaluation Service to measure hallucination rates, groundedness, and relevancy.

Technical Deep-Dive (Specific Expertise)

Orchestration: LangGraph (Stateful Actors), LangChain, CrewAI, or Vertex AI Agent Builder.

GCP Ecosystem: Vertex AI Studio, Cloud Run (for serverless AI apps), BigQuery (for data grounding), and Cloud Storage.

Data Handling: Advanced RAG techniques (Hybrid search, Parent-Document Retrieval, Query expansion).

Ideal Candidate Profile

• Experience: 2/3+ years in software/ML engineering, with at least 1 year of hands-on experience building and deploying LLM-based applications in production.
• The "Agentic" Mindset: You understand that LLMs are more powerful when treated as reasoning engines within a larger system rather than just text predictors.
• State Management: Deep understanding of how to manage conversational state and memory in complex, non-linear AI graphs (cycles, nodes, and edges).
• Software Rigor: You treat AI engineering like software engineering—applying CI/CD, unit testing for prompts, and structured logging using Cloud Trace and Cloud Logging

Why Join Us:

• A dynamic work environment with an international team, where collaboration and diversity thrive.
• Work alongside top talent, united by a shared purpose and committed to making a real impact.
• Comprehensive private health coverage to ensure your physical and mental well-being.
• Hybrid work model offering flexibility to balance your professional and personal life.
• Company events to celebrate achievements and enjoy time together.
• Get equipped with a MacBook to enhance your productivity and work experience.
• Our office is pet-friendly! You’ll likely be greeted by a few wagging tails upon arrival.

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By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

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