The Ecosystems Engineering group is seeking a Software Engineer in our Boston, MA and Raanana offices.
In this role, you will work with a diverse team of highly motivated engineers on designing and implementing AI/ML workflows for security solutions . You will also be working closely with the product management, other engineering groups within, and with our partners and lighthouse customers.
What you will do:
Architect, lead, and contribute to the design and implementation of AI workflows in the security space
Implement, deploy, optimize, and otherwise improve Agentic Workflows running on OpenShift
Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and the integrations between their technology and that of ours
Collaborate with partners to leverage our combined technologies in order to solve difficult technical and business problems.
In this role, you will work with a diverse team of highly motivated engineers on designing and implementing AI/ML workflows for security solutions . You will also be working closely with the product management, other engineering groups within, and with our partners and lighthouse customers.
What you will do:
Architect, lead, and contribute to the design and implementation of AI workflows in the security space
Implement, deploy, optimize, and otherwise improve Agentic Workflows running on OpenShift
Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and the integrations between their technology and that of ours
Collaborate with partners to leverage our combined technologies in order to solve difficult technical and business problems.
Requirements:
Experience in development in Python
Experience with containers and OpenShift or Kubernetes
Experience and knowledge of AI frameworks (LangChain, Haystack) and libraries (e.g. TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, Feast etc
Familiarity with model parallelization, quantization, and memory optimization using vLLM, DeepSpeed, OpenVino and other inference libraries
Experience with AI and MLOps tools and Concepts, including Automation, GitOps, pipelines, models, etc. for managing the AI/ML lifecycle in production environments
Experience with vector databases and retrieval-augmented generation(RAG).
Interest in learning new technologies; problem-solving skills.
The following are considered a plus:
Cloud Computing experience using at least one of the following Cloud infrastructures AWS, GCP, Azure & IBM Cloud
Previous code contributions to or participation in open source projects or code samples on GitHub.
Experience in development in Python
Experience with containers and OpenShift or Kubernetes
Experience and knowledge of AI frameworks (LangChain, Haystack) and libraries (e.g. TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, Feast etc
Familiarity with model parallelization, quantization, and memory optimization using vLLM, DeepSpeed, OpenVino and other inference libraries
Experience with AI and MLOps tools and Concepts, including Automation, GitOps, pipelines, models, etc. for managing the AI/ML lifecycle in production environments
Experience with vector databases and retrieval-augmented generation(RAG).
Interest in learning new technologies; problem-solving skills.
The following are considered a plus:
Cloud Computing experience using at least one of the following Cloud infrastructures AWS, GCP, Azure & IBM Cloud
Previous code contributions to or participation in open source projects or code samples on GitHub.
This position is open to all candidates.
