Senior AI Engineer – Multi-Agent LLM Systems

We are looking for an outstanding individual with expertise in developing and optimizing multi-agent systems leveraging Large Language Models (LLMs). This role will be crucial in advancing AI architectures where multiple agents collaborate to perform complex tasks, integrating reinforcement learning, self-learning, and coordination strategies.

Key Responsibilities:

• Research, design, and implement multi-agent LLM-based architectures to solve real-world AI challenges.
• Develop and optimize algorithms for agent coordination, communication, and collaboration in complex environments.
• Work with cutting-edge AI techniques such as reinforcement learning, self-supervised learning, and meta-learning to enhance multi-agent performance.
• Collaborate with hardware and software engineers to co-design AI models optimized for Openchip’s custom silicon solutions.
• Experiment with decentralized AI models and federated learning approaches for multi-agent systems.
• Implement large-scale distributed training pipelines for multi-agent reinforcement learning.
• Conduct performance analysis and benchmarking of AI workloads on custom accelerators.
• Stay up to date with advancements in deep learning, multi-agent reinforcement learning, and AI hardware to bring innovative ideas into Openchip’s AI strategy.
• Participate in technical discussions and contribute to Openchip’s AI research and development roadmap.

Qualifications:

• MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proven experience in developing multi-agent AI systems and training LLM-based models.
• Strong programming skills in Python (Go, C++,… is a plus) and proficiency with ML frameworks such as TensorFlow, PyTorch, or JAX.
• Experience with AI agent (collaboration) techniques with frameworks like LlamaIndex, Langchain, CrewAI, Autogen, Letta…
• Familiarity with multi-agent training techniques and distributed learning frameworks.
• Experience working in a hardware/software co-design environment is highly desirable.
• Fluent in English is a must; knowledge of additional European languages (German, Dutch, Spanish, French, or Italian) is a plus.

Soft Skills:

• The candidate should be equipped with a unique skills-set: Self-starter, self-motivated, humility, excellent communications skills; outstanding human qualities as honesty, integrity, fellowship, generosity and commitment with his/her mission to change the world.
• Excellent communication and collaboration skills to work effectively in a multidisciplinary team.
• A strong commitment to innovation and problem-solving, a can-do attitude.
• Passionate about driving the next generation of AI hardware/software integration.
• Willingness to mentor junior engineers and contribute to a collaborative learning culture.

• Join an innovative team and experience company growth.
• We believe in investing in our employees and providing them with opportunities for growth and career development.
• Work in a hybrid environment with flexible scheduling.
• We offer a remuneration that values your experience.
• Salary 2250 – 4165 € per month.
• A chance to work on one of the most transformative AI and silicon engineering companies in Europe.
• The position will be based in Barcelona (Spain)

European Silicon Engineering Company, headquartered in Barcelona, Spain,
aims to democratize the access to high performance compute Chips developing Systems on Chip based on Chiplet technology and the combination of RISC-V and compute acceleration for AI and HPC, everything interconnected with UCIe open interfaces.
Its technologies will provide a value in multiple fields as Artificial Intelligence, Security and Privacy and Carbon Footprint Reduction. Willing to change the Silicon Industry and help to build a more sustainable world, where collaboration and openness are by default. Chips used in High Performance Computing, Autonomous Driving,  Telecommunications, Personalized Medicine, Edge Computing and Cloud.

Ak vás ponuka zaujala, prosím pošlite svoj životopis v anglickom jazyku na eures.seleccio.soc@gencat.cat a v kópii ho pošlite prostredníctvom ikony „Pošli životopis“. Do predmetu mailu uveďte nasledovné: ID.EURES 7171718, Senior AI Engineer Multi-Agent LLM Systems, Reference 11487

EURES poradca: Ing. Alžbeta Kučerová, alzbeta.kucerova@upsvr.gov.sk,