Python C++ Machine Learning

The Role 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...
The Role

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.

What We Offer

  • 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.
  • 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)

We are looking for outstanding people willing to join our mission to change the silicon industry and help build a better world. If you feel identified with Openchip, please contact us.

At Openchip & Software Technologies S.L., we believe a diverse and inclusive team is the key to groundbreaking ideas. We foster a work environment where everyone feels valued, respected, and empowered to reach their full potential – regardless of race, gender, ethnicity, sexual orientation, or gender identity.

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