Agentic AI Research Engineer

About us

At Visium, we enable enterprise executives to define their AI & Data strategy, execute large-scale transformations, and deploy AI across operations - ensuring their organizations become truly future-proof. Born as a spin-off from Visium, we’re now channeling this deep enterprise expertise into something new: a category-defining Agentic AI product purpose-built for pharma companies.

Grounded in AI for highly regulated industries, our product is designed to operate where complexity, compliance, and trust are non-negotiable. Its ambition is clear: to help bring life-saving medications to market faster, cheaper, and safer, unlocking meaningful impact at scale.

With strong roots in enterprise AI and a bold vision for the future, we’re assembling a team of builders, engineers, researchers, and product minds to shape a product that’s not only technically exceptional, but truly transformative.

We’re on a mission to shape the future of work, creation, and knowledge. Ready to build the future of Agentic AI with us?

You will collaborate closely with researchers and engineers to implement and optimize systems that support the development and deployment of state-of-the-art AI solutions. This role is ideal for individuals who thrive at the intersection of research and engineering, particularly in building robust tooling and data pipelines for large-scale AI models such as LLMs. 

Key Responsibilities:

• Data Engineering: Build and maintain robust data pipelines that handle diverse and large-scale datasets, ensuring data quality and accessibility for model training.
• Collaboration: Work closely with cross-functional teams, including data scientists, ML engineers, and product managers, to integrate AI solutions into real-world applications.
• Research Support: Support Data Science needs, run large-scale model training, and analyze results to support ongoing research initiatives.

Tooling and Automation: Develop tools and automation scripts to streamline workflows, improve efficiency, and ensure reproducibility in research and development processes.

Requirements

You bring technical strength, curiosity, and a drive to build meaningful AI systems. Here's what helps you succeed in this role:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Proficiency in Python.
• Solid understanding of machine learning concepts and experience working with ML frameworks like TensorFlow, PyTorch, or JAX.
• Experience with large language models (LLMs) and understanding of their training and deployment challenges.
• Familiarity with MLOps practices and tools for continuous integration and deployment of ML models.
• Experience in deploying distributed systems, cloud computing platforms (e.g., AWS, GCP, Azure), and containerization technologies (e.g., Docker, Kubernetes).
• Strong skills in data processing, ETL pipelines, and working with large-scale datasets.
• Ability to tackle complex problems, think critically, and develop innovative solutions.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences.

We know that great candidates might not check every box. If you’re excited about this role and believe you could contribute, we’d love to hear from you.

What we offer

• A competitive compensation package
• A yearly education budget to steep your learning curve
• A yearly sport budget because a fit body leads to a fit mind
• A flexible working culture because your work-life balance matters to us
• A position that enables you to have an impact on 1’000s of people, and the whole company's growth.
• An international, knowledgeable, and passionate team with a strong collaborative mindset

Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.