Senior AI Software Engineer

Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcome.Role OverviewWe are looking for a skilled Senior AI Software Engineer who will design, implement and test features and MLOps/DevOps tools for data scientists with focus on Large Language Models.We work at every stage of software lifecycle including design, implementation, testing, CI/CD, deployment and production support.ResponsibilitiesDesign, develop, and maintain Python codeEnhance and optimize AI workloadsTroubleshoot and provide DEV support for client installationsContinuously improve code quality, system design, and processResearch improvements and advancements in the LLM sphereParticipate in code reviewsQualifications5+ years experience in software developmentBachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldProven experience in 2+ industrial projects in different languages (C++/Java/Go/C#/Python) domains / software stacksStrong knowledge of PythonGood knowledge of ML Libraries (Pytorch, Tensorflow or equivalent) or inference libraries (VLLM, llama.cpp, …)Experience in Finetuning and/or Deploying LLMsWorking knowledge of operating systems (Linux) and computer networksSolid understanding of object-oriented programming and design patternsExperience with cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes or OpenShift)Working knowledge of CI/CD configuration (Gitlab, Argocd, etc)Solid understanding of full software lifecyclePractical knowledge on metrics, logging and production supportNice to HaveExperience with distributed systems/computationWorking with compute accelerators (GPUs, TPUs)#J-18808-Ljbffr