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The Staff AI Engineer will design and build production-grade agentic AI workflows for the Acquia Digital Experience Platform. The role focuses on using tools like LangGraph, Temporal, and LangFuse to create reliable, scalable AI systems while mentoring the engineering team.
Senior SDET designing and executing automated test strategies for large-scale AI cluster infrastructure (thousands of nodes), targeting 99.999% reliability using Kubernetes, Prometheus, Grafana, and Python/Go/C++.
This role leads the Retail AI GTM Pod at Toast, architecting and deploying AI-driven solutions to improve sales productivity and onboarding efficiency. The position involves managing the full lifecycle of applied AI applications, integrating them into core systems, and collaborating across teams to scale AI-powered workflows.
The AI Solutions Engineer builds and deploys production-ready AI assistants, agents, and workflow automations for a financial services firm. The role involves end-to-end development using Python, RAG, and enterprise AI platforms while collaborating with data engineering and MLOps teams.
The Senior Infrastructure Delivery Manager will lead strategic delivery programs for AI cloud platforms and hyperscale GPU data centers, overseeing program strategy, governance, and multi-site expansion. The role involves coordinating across engineering, operations, and procurement teams while managing a team of project managers.
Build and deploy AI-powered document processing pipelines for biotech customers, integrating systems like MES/LIMS and configuring LLM workflows on AWS while navigating enterprise security and compliance.
Design and deploy end-to-end AI/ML solutions on AWS for enterprise customers, from proof-of-concept to production, using cloud-native tools and modern architectures.
AI Full-Stack Engineer building growth systems—web experiences, experimentation, SEO/GEO, attribution pipelines, and AI-enabled workflows—for a restaurant-focused AI platform, using TypeScript, React, Next.js, and SQL.
As a Senior Member of Technical Staff, you will design and manage scalable synthetic data pipelines to improve the performance and efficiency of Cohere's enterprise AI foundation models. The role involves bridging research and engineering by conducting data ablations, optimizing inference on GPU clusters, and curating large-scale datasets.
Builds and deploys AI solutions (LLMs, Agentic AI) for business problems, designing data pipelines, optimizing models, and collaborating with stakeholders to integrate AI into global operations.
The Applied AI Engineer will build and maintain AI-driven workflows and agentic solutions to automate revenue operations and integrate with CRM systems at SJC Media.
Builds and deploys generative AI models (text-to-image, image editing) for Ideogram’s creative tools, bridging research and product to improve user workflows and system reliability.
The Research Software Engineer will build data-intensive, real-time systems and production-grade agentic tooling. The role focuses on leveraging LLMs to improve discovery and system performance within a distributed infrastructure.
As an AI Engineer at Scotiabank, you will design and implement intelligent software solutions by collaborating with data scientists and engineers. The role focuses on building scalable applications using Python, microservices, and modern AI frameworks like LangChain to support the bank's AI strategy.
Lead a team to build agentic AI systems that generate production-grade native mobile apps in Swift/SwiftUI and Kotlin, while defining evaluation pipelines and MCP tooling for reliability.
Worky is seeking a product-focused AI Software Engineer to build and deploy end-to-end AI-driven restaurant solutions, including voice ordering and agent workflows. The role involves full-stack development using Python, FastAPI, TypeScript, React, and various AI/LLM technologies to deliver reliable production-grade features.
AI Full-Stack Engineer on the Growth team at Palona, building conversion-focused web experiences, experimentation systems, SEO/GEO infrastructure, and AI-enabled growth workflows for a restaurant AI platform using TypeScript, React, Next.js, and SQL.
The DevSecOps Engineer will implement and manage security practices across the SDLC, focusing on hardening CI/CD pipelines and cloud infrastructure on GCP. The role involves automating security checks, managing secrets, and ensuring compliance with frameworks like SOC 2 and ISO 42001.
Lead ML product engineering efforts—designing data pipelines, feature generation, inference pipelines, and model delivery systems—using big data frameworks like Spark, Kafka, and Cassandra with Scala/Java on Azure/AWS.
The Software Engineer for Machine Learning Infrastructure will build and maintain scalable services and tools to support the entire ML lifecycle, including model training, deployment, and LLM applications at Stripe. This role involves collaborating with data scientists and product teams to improve ML development velocity and MLOps maturity.
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