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Biorce, Barcelona hub, is seeking a Mid-Level AI Engineer to advance our AI and Data engineering initiatives from our Barcelona hub. You will report to AI/Engineering leadership and contribute to building sophisticated AI systems beyond chat interfaces.
You will design agentic workflows, manage complex state in LLM applications, and ensure generative features are reliable, steerable, and scalable through strong software engineering practices.
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.
Following our successful expansion into the U.S. and continued growth across Europe, we are seeking a Mid-Level AI Engineer to help drive our AI and Data engineering from our Barcelona hub.
Reporting directly to our AI / Engineering leadership, this person will play a critical role in building sophisticated AI systems that go beyond simple chat interfaces.
This role will focus on designing agentic workflows, managing complex state in LLM applications, and ensuring that our generative features are reliable, steerable, and scalable.
We are looking for an AI Engineer with experience in software or ML engineering and hands-on experience building and deploying LLM-based applications in production.
Someone with an agentic mindset, who understands that LLMs are more powerful when treated as reasoning engines within a larger system rather than just text predictors. This person should be able to manage conversational state and memory in complex, non-linear AI graphs while applying strong software engineering rigor to AI development.