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.

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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).

Adecuado 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. xqbhyrx

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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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📌 Mid-Level AI Engineer: Agentic LLM & RAG Systems (Barcelona)
🏢 Biorce
📍 Barcelona