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This role involves building backend services and APIs to integrate CAD platforms like Siemens NX and SOLIDWORKS with cloud-native AI engineering workflows. You will use Python to translate CAD models into machine-readable data and collaborate with research teams to develop an AI-driven engineering copilot.
Builds and maintains scalable backend services in Go, focusing on REST APIs and Kafka/Avro event-driven workflows to support millions of users while mentoring juniors and working with mobile teams.
The Platform Backend Engineer will design, develop, and maintain API services for Speechify's text-to-speech platform. The role focuses on using TypeScript, Node.js, and cloud infrastructure to support product strategy and user experience.
The Staff Software Engineer will design and implement scalable microservices architectures and automation solutions for a clinical AI platform. The role involves providing technical oversight, establishing coding standards, and collaborating across global teams to improve product performance and reliability.
The Lead AI/ML Engineer will oversee the architecture and development of an AI-driven supply chain platform, managing end-to-end integration and mentoring a team. The role focuses on building scalable backends, implementing ML models, and maintaining robust MLOps pipelines using cloud technologies.
The Senior AI Engineer will design and build scalable AI and agentic AI solutions within Singtel's AIDA unit. The role involves full-stack development using Python, TypeScript, LangChain, and LangGraph to create robust AI-driven systems.
The Software Engineer will design and optimize distributed storage, stream processing, and RocksDB components to support scalable data platforms and AI data pipelines at ByteDance.
The Data Analytics Engineer will design, develop, and deploy AI and big data solutions for security applications using Python, Spark, Oracle, and Linux. The role involves collaborating with cross-functional teams to build scalable server-side applications that integrate machine learning and graph database technologies.
The Data Engineer will design and operate high-throughput data pipelines to ingest unstructured data, generate vector embeddings, and support semantic search for national security analytics.
OttoMate is looking for a Senior Full-Stack Engineer to lead GenAI and AI agent initiatives, focusing on building scalable microservices and integrating AI frameworks like LangChain. The role involves hands-on development, API design, and mentoring a distributed team while working with international clients.
UNLOCKLAND is seeking an AI/Full-Stack Engineer to build generative design algorithms and LLM-powered systems for real estate development and urban planning. You will translate complex design logic into scalable software, working with spatial data and AI agents to create viable development solutions.
Builds and leads AI-powered full-stack applications using React/Next.js, Node.js or Python, LangChain/LangGraph, and cloud services, while advising clients and mentoring teams.
The Senior Backend Engineer will develop distributed Parameter Server systems for large-scale machine learning training and inference, focusing on high-performance C++ development to support e-commerce recommendation and advertising algorithms.
Designs and maintains scalable, reliable cloud infrastructure and CI/CD pipelines for Apple’s B2B systems, with a focus on managing ML model deployments in production.
Builds Python backend services for AI pipelines, IFC file processing, and AWS deployment with Terraform and GitLab CI/CD.
This role involves managing Azure cloud infrastructure, CI/CD pipelines, and AI-enabled platforms for a public sector client. The engineer will focus on DevOps automation, Infrastructure as Code, and maintaining secure, compliant cloud environments.
Build and maintain a cross-platform Electron desktop app for an AI-native smart assistant, focusing on reliability, performance, and real-time features across macOS and Windows.
The Python Developer will work on Generative AI and AI/ML projects, utilizing frameworks like PyTorch and LangChain. The role involves software engineering best practices including TDD and CI/CD pipelines.
The AI Platform Engineer will design, deploy, and scale AI solutions, including agentic systems and retrieval foundations, to support Agilent's scientific and operational functions. The role involves working within cross-functional AI pods to build AI-ready data products and platform infrastructure.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will work primarily on the backend using Python or .NET, with occasional frontend tasks in React/Next.js, focusing on LLMs, RAG, and agent-based architectures.
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