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The Solutions Architect will define end-to-end architecture for AI, data products, and integration solutions while guiding engineering teams. The role focuses on creating scalable architecture patterns that align with enterprise security and governance standards.
Own the product roadmap for Savvy’s advisor-facing platform, shaping AI-native tools that help financial advisors scale their practices and serve more clients efficiently.
The AI Engineer will design, develop, and deploy generative AI and machine learning solutions using LLMs, prompt engineering, and MLOps. The role involves integrating Azure and Snowflake technologies to build scalable AI applications.
Own the data pipeline and reporting products that turn raw retail data into actionable insights for store managers and head offices using deep learning and computer vision.
The Senior IT Infrastructure & Network Engineer will design, build, and maintain a secure and scalable IT infrastructure to support the development and daily operations of a growing deep-tech scale-up.
Build and operate backend systems powering pricing, payments, subscriptions, and billing for OpenAI's products (ChatGPT, API). Focus on production backend, platform, and distributed systems with strong correctness and reliability guarantees.
Leads Docker’s new Professional Services team to architect AI/containerized solutions for enterprise customers, scaling reference architectures for agentic workflows, secure supply chains, and self-hosted deployments while advising Fortune 500 clients on modern containerization and AI integration.
This role involves deploying and integrating AI-driven cybersecurity agents into complex enterprise environments. The engineer will work directly with customers to manage data pipelines, customize agent workflows, and translate field feedback into platform improvements.
Lead cross-functional teams to plan and deliver cutting-edge imaging and AI projects that accelerate scientific discovery and disease research.
The Senior Data Platform Engineer will design and build governed data sharing infrastructure, including CDC pipelines and cataloging tools, to support Smartly's product, analytics, and AI/ML teams. The role focuses on creating reliable, contract-driven data publishing paths using technologies like Kafka, PostgreSQL, and Kubernetes.
Deploy AI agents into logistics companies' systems, reverse-engineering APIs and ERPs to integrate Pallet’s platform and ship production workflows.
This role involves developing and optimizing Generative AI applications by fine-tuning Large Language Models (LLMs), designing agentic systems, and implementing domain-specific data strategies across a full technology stack.
The Senior Cloud DevOps Engineer will design and manage CI/CD pipelines for AI and ML workloads while overseeing multi-cloud infrastructure. The role involves collaborating with R&D and data science teams to ensure system scalability, high availability, and robust security.
Builds and maintains Linux-based infrastructure to support AI-driven platforms, focusing on server hardware, networking, and system reliability for scalable, secure operations.
The Senior Backend Engineer will manage durable workflows and microservices within an AI-native monorepo, focusing on system reliability, security, and performance. The role involves collaborating with product and QA teams to implement architecture guided by ADRs and DevOps best practices.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
Build and optimize multi-agent conversational AI systems using Google’s GECX Code Agents, Python/TypeScript tooling, and Dialogflow CX for customer-facing workflows.
Builds and maintains Apple’s AI & Data Platforms, optimizing big data infrastructure for analytics, AI/ML apps, and reporting via distributed systems and cloud platforms.
This senior full-stack role involves building agentic AI workflows and intelligent call-center systems using React, Next.js, Node.js, and Python. The engineer will own end-to-end development, from architecture design to production deployment of AI-driven operational tools.
This role involves full-stack development using Java and Spring Boot to build robust solutions for big data and analytics. The position requires a high-agency developer capable of independent problem-solving, API management, and maintaining high-quality code standards.
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