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We are looking for a Software Engineer to help build and scale the infrastructure behind our production AI systems. You will work on the platform that supports the full lifecycle of our AI models, from training and…
A Member of Technical Staff on the AI Training Platform builds and scales the infrastructure used to train, evaluate, and benchmark models — including multi-node distributed training, the proprietary training framework, and CUDA/Triton kernel optimization — to help researchers map neural networks onto the company's novel physics-based compute hardware.
Product Data Scientist at Baseten (an AI inference platform) who partners with Product, Engineering, and GTM to define success metrics, design A/B experiments, build forecasts, and analyze clickstream plus inference telemetry to guide product strategy. Core stack: SQL, Python, time-series forecasting (ARIMA/Prophet), dbt, and BI tools like Sigma/Hex.
Senior Technical Evangelist for Pure Storage's AI platform, turning its data platform tech (Portworx, Evergreen//One, Data Stream Services) into technical content, sandbox demos, reference architectures, and sales enablement. Requires deep AI-stack skills (PyTorch, vLLM, Kubernetes, RAG, vector DBs) plus Python/shell scripting, working in-office in Santa Clara or Bellevue.
Senior engineer builds and runs the production inference stack for SambaNova’s generative-AI platform, optimizing LLM serving on custom RDU hardware with low-latency, high-throughput systems.
Build and deploy AI inference systems with customers, writing production code and debugging across the full stack from requests to kernel dispatch.
Principal Software Development Engineer at Zscaler (hybrid, Bangalore) on the ZPA team, acting as a hands-on technical leader for large-scale Generative AI platforms and agent systems in production. Day to day involves building MCP servers, deploying containerized AI workloads with Docker/Kubernetes, and defining engineering standards for enterprise AI.
Build and maintain the cloud infrastructure that powers SambaNova’s AI inferencing service, ensuring high availability, low latency, and scalability across AWS, GCP, Azure, and on-prem while managing on-call rotations and incident response.
Seekr is hiring a Staff AI Engineer/Scientist to develop explainable and trustworthy AI systems for mission-critical applications. The role involves bridging research and production engineering to build capabilities for model interpretability, contestability, and hallucination mitigation.
The Principal AI Engineer will design and build the SeekrFlow Edge Builder platform to enable the deployment and management of trustworthy AI solutions across diverse environments including edge and air-gapped systems. The role involves working across infrastructure, security, and AI layers to create scalable, secure, and repeatable deployment workflows.
The Senior Site Reliability Engineer will lead the design, architecture, and observability of Seekr's AI platform to ensure system reliability and performance. The role involves collaborating with engineering teams to manage hybrid cloud infrastructure, automate operational tasks, and handle incident response.
Design and operate Kubernetes-based GPU infrastructure and AI serving platforms for large-scale model training, inference, and autonomous agents using Python, Go, or Rust.
Design and build explainable AI systems that help users understand and contest AI outputs, working with LLMs, RAG, and agent frameworks in a hybrid Austin or Reston office.
Forward Deployed Engineers embed with clients to deploy production-grade AI systems using SeekrFlow, specializing in LLM fine-tuning, agentic workflows, and Kubernetes-based deployments across cloud/on-prem environments.
Senior AI Systems Engineer designs and maintains scalable infrastructure for AI model training and inference at an aerospace company, using cloud-native tools and LLM-serving frameworks.
Designs and maintains the AI infrastructure for training and deploying large-scale machine learning models, focusing on distributed systems, MLOps, and GPU optimization in a multi-cloud environment.
Design and deploy secure AI workloads for U.S. government agencies, ensuring compliance with FedRAMP and DoD standards while optimizing GPU-powered cloud infrastructure for mission-critical applications.
About Scale AI At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's…
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the…
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