ML / Software engineer at Conversy

About this role

Responsibilities

• Design, build, and own production-grade backend services and APIs that power our AI-driven products.
• Integrate and operationalize machine learning models — including LLMs, RAG pipelines, and speech processing models — into reliable, scalable software.
• Work in a near-research environment, translating recent advances in ML into production systems.
• Take responsibility for security, infrastructure, and hosting setups, including Kubernetes-based deployments.
• Contribute to improving performance, reliability, and observability across our platform.
• Collaborate with product and customer-facing teams to understand and solve real-world problems without obvious answers.
• Who you are
• You think like a modern software engineer — you write auto-tested code that you deploy the same day you wrote it.
• You proactively share your progress and are always ready to lend a hand in a small, interdisciplinary team.
• You take ownership and appreciate that a customer phone call today can lead to an experimental feature shipped next week.
• You are curious about machine learning and have integrated models and frameworks (PyTorch, Haystack) in software systems.
• You have deployed code to containerized infrastructure and

About Conversy AB

Conversy is the leading company in voice and speech technology, with products for meeting assistants, subtitling, and more. We deliver a globally unique combination of voice biometrics, speech processing, and generative AI — supporting both cloud and on-prem — to some of Sweden’s largest organisations as well as global actors in intelligence and media. We are a small, high-trust team where members rely on each other with important decisions and deliver to end users daily.