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The Senior Frontend Software Engineer will design and scale interactive, real-time AI interfaces for Addepar's AI platform. The role involves building high-performance streaming data pipelines and optimizing rendering performance using technologies like TypeScript, Svelte, and WebSockets.
Lead a full-stack team building AI-powered data products for private-market investment workflows using React, Python/Java, and AWS.
Addepar is seeking a Senior Software Engineer to build and maintain portfolio data workflows and financial analysis tools. The role involves full-stack development using Java, SQL, AWS, and modern frontend frameworks to evolve the company's service-based architecture.
Addepar is seeking a Senior Product Designer to lead design efforts for their data management platform, focusing on complex financial workflows and data visualization. The role involves collaborating with cross-functional agile teams to deliver scalable, user-centered enterprise solutions using Figma.
Build and maintain backend services for an AI-powered financial data platform, including microservices, APIs, async processing, and real-time streaming to support AI features like document extraction and semantic retrieval.
Addepar is seeking a Senior Software Engineer to build and scale data platform services and AI-powered financial tools. The role involves working with distributed systems, cloud infrastructure, and big data technologies to improve platform velocity and product delivery.
Builds and scales a data analytics platform for investment professionals, using Java/Python, cloud infrastructure, and data engineering tools to enable data-driven decisions.
Advises investment firms on integrating and managing alternatives data using Addepar’s AI-powered platform, guiding clients through onboarding and implementation while collaborating with cross-functional teams.
Lead AI security initiatives, architect secure AI integrations, and mentor teams on AI threats and governance for a fintech platform serving global investment firms.
Own the enterprise product strategy for n8n’s AI orchestration platform, shaping workflow lifecycle, developer tools, and production-grade operations for technical teams.
The Motion Designer will create performance-driven video content for a new AI-powered language learning product, focusing on high-conversion ads for platforms like Meta. The role involves building a video production system, iterating rapidly based on performance metrics, and utilizing AI tools to scale creative output.
The MLOps Engineer will manage the end-to-end lifecycle of Large Language Models, including fine-tuning, data pipeline development, and production deployment on AWS. The role focuses on building scalable AI infrastructure using tools like Hugging Face, Docker, and Kubernetes.
The Senior Technical Program Manager will lead the deployment and operational execution of AeroVect's autonomous airside vehicle program at the Atlanta Airport. This role involves managing cross-functional schedules, risks, and stakeholder alignment between engineering and operations teams.
As the first technical hire, you will build an AI-driven operating system for agricultural logistics by formalizing complex dispatching problems and shipping end-to-end solutions. You will work directly with founders to translate real-world operational data into actionable models and interfaces for factory dispatchers.
Traild is seeking a Senior Frontend Engineer to build a new close-management product and work on AI-driven finance automation tools. The role requires full-stack expertise, specifically with React, to own features from concept to production in a high-growth fintech environment.
Owns a GenAI agent platform inside a large bank, shaping tools for agent quality, safety, and developer experience while balancing internal stakeholder needs.
Senior AI Engineer builds and deploys production-grade AI systems using LLMs, autonomous agents, and RAG for a maritime intelligence platform that processes millions of events daily.
The Chief Data Scientist will lead the ML and AI strategy for Sber's personal communications team, managing a team of data scientists to develop recommendation models and integrate LLM solutions. The role focuses on optimizing customer interactions across multiple channels to drive business impact and conversion.
QA Automation Engineer building automation frameworks to validate Kubernetes-based distributed systems across AWS, Azure, and GCP, including chaos testing and reliability validation, primarily using Python and Go.
QA Automation Engineer focused on network and distributed-systems testing, building chaos and failure-injection automation frameworks for Kubernetes, cloud networking, and service-to-service communication using Python and Go.
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