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Build lightweight security components for a Generative AI security platform, including sensors and enforcement mechanisms across endpoints, browsers, and workloads to enable real-time threat detection and data protection.
Senior .NET Backend Engineer designing and maintaining scalable systems using .NET 8 and C#. Focus on RESTful APIs, microservices, and AI-assisted development while managing SQL Server and PostgreSQL databases.
The Senior Go Backend Engineer will build and maintain backend systems for GPU health monitoring, telemetry ingestion, and fleet visibility within NVIDIA's high-performance infrastructure. The role involves designing APIs and services while utilizing technologies like Go, Docker, Kubernetes, and Helm.
This role involves designing and operating core infrastructure for data generation and AI evaluation pipelines. The engineer will focus on building scalable and reliable large-scale systems using Python or Node.js, AWS/GCP, and Kubernetes.
Netris is looking for a senior infrastructure engineer to design and develop distributed agents for AI network infrastructure using Golang. The role involves hands-on development, architecture reviews, and mentoring within a Linux-based networking environment.
The Lead Machine Learning Engineer will design and maintain scalable ML systems while setting technical direction and mentoring engineering teams. This role involves building shared ML resources, managing project roadmaps, and providing technical coaching to customers.
The Lead Data Scientist at Faculty will oversee end-to-end delivery of production machine learning solutions, set technical direction, and mentor team members. The role involves advising clients on technical solutions and collaborating across engineering and infrastructure teams.
As a Senior Machine Learning Engineer at Faculty, you will design and deploy production-grade ML software and scalable infrastructure while advising customers on technical strategy and mentoring junior team members.
The Solutions Engineer will work directly with customers to implement production-ready AI and software solutions using LLMs, MLOps, and cloud infrastructure. This role bridges technical expertise and customer success to drive product adoption and roadmap development.
The AI/ML Engineer will design and deploy generative AI solutions using LLMs and integrate AI capabilities into enterprise data pipelines. This is a one-year project-based role requiring collaboration with product owners and data teams in an Agile environment.
The Senior Data Platform Engineer will design and maintain scalable data infrastructure to support analytics and AI initiatives. The role involves building data pipelines, optimizing SQL queries, and managing ML workflows using cloud platforms like AWS, GCP, or Azure.
The Lead Data and AI Solution Engineer will oversee the deployment, automation, and governance of GenAI and Agentic AI pipelines. The role focuses on optimizing operational processes, monitoring performance, and ensuring scalable, compliant AI services using frameworks like LangChain and various cloud platforms.
The AI/ML DevOps Engineer will design and operate AI/ML models and LLM-based agent applications for pharmacy and benefits platforms. The role focuses on building scalable cloud infrastructure, managing conversation states, and integrating LLMs with enterprise systems.
The Lead AI DevOps Engineer will design and deploy scalable, secure AI/ML and GenAI solutions on Azure, overseeing model lifecycles and infrastructure automation. This role involves leading technical workstreams, mentoring engineers, and integrating LLM/SLM models into enterprise applications.
The DevOps Engineer will deploy the DataRobot platform within CNCF-compliant Kubernetes environments across cloud and on-premises infrastructure. This customer-facing role focuses on automation, troubleshooting, and cross-team collaboration.
The DevOps Engineer will deploy and maintain the DataRobot platform within customer-managed Kubernetes environments using infrastructure-as-code tools like Terraform and Helm. This role involves troubleshooting complex networking and platform issues while acting as a technical subject matter expert for customer deployments.
The DevOps Engineer (AI/ML) will design, deploy, and maintain LLM-based agent applications and cloud infrastructure for healthcare pharmacy systems. The role focuses on building scalable AI platforms, optimizing agent workflows, and ensuring reliable deployments using Python and cloud-native technologies.
The DevOps Engineer will deploy the DataRobot platform into customer-managed Kubernetes environments and provide L3 technical support. The role focuses on infrastructure automation using Terraform, Helm, and Ansible while collaborating with customers to resolve complex integration issues.
Lexroom.ai is seeking an Analytics Engineer to build their data foundation, manage the transformation layer, and create self-service dashboards using BigQuery, dbt, Pub/Sub, and Python. This role serves as the first dedicated analytics hire, working closely with leadership to drive data-informed decision-making.
This role involves building reliable backend microservices for high-volume fiscal and document data processing within an AI-driven startup. The engineer will integrate AI components into production systems while focusing on testing, security, and documentation.
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