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Develops and maintains MCP servers in Quarkus, enabling AI capabilities like tools, resources, and prompts while integrating with DataHub APIs and ensuring secure, observable, and governed AI interactions.
The Site Reliability Engineer will manage and optimize Azure-based cloud infrastructure, CI/CD pipelines, and observability tools to ensure the reliability of AI-driven cancer diagnostic platforms. The role involves automating operational tasks, participating in an on-call rotation, and leading incident reviews.
The Principal AI Software Developer leads the design and implementation of large-scale, mission-critical AI and LLM systems for federal agencies using a modern cloud stack including Next.js, Terraform, and major cloud providers. This hands-on role involves architecting AI solutions, establishing MLOps practices, and ensuring compliance with federal security and AI policy standards.
Technical Product Manager owning the roadmap for an AI-first healthcare data platform—driving healthcare data ingestion (HL7, FHIR), canonical data modeling, workflow orchestration, and AI-ready pipelines in close collaboration with engineering teams.
The Solutions Architect will lead the design of scalable, secure enterprise and retail technology platforms by collaborating with business and engineering teams. The role focuses on defining technical roadmaps and architecture standards using cloud-native, microservices, and event-driven technologies.
The Data Analyst will design and develop BI dashboards, translate business requirements into reporting solutions, and analyze complex datasets to provide actionable insights. The role requires strong SQL and data visualization skills to collaborate with cross-functional teams in a fast-paced AI and data engineering environment.
Senior IT Project Manager overseeing end-to-end delivery of AI/data projects, coordinating cross-functional teams, and ensuring on-time/budget completion of software, system, and digital platform initiatives for enterprise clients.
Leads PCB design for AI silicon hardware, focusing on high-complexity, high-layer-count boards (20+ layers) with ultra-high-speed interfaces (PCIe Gen5/6, CXL) and power delivery for AI accelerators. Owns layout methodology, automation, and tooling to scale hardware development.
Builds VSCode plugins and IDE tooling with both logic and UI, integrates AI agents, and adapts open-source tools for secure corporate environments.
Contract Technical/UX Writer creating documentation, user guides, and UI copy for Sendbird's AI-first customer experience platform, collaborating with PMs, engineers, and designers using tools like Git, GitBook, and Figma.
The Data Engineering Lead will own the design, architecture, and operation of the company's data warehouse, ingestion pipelines, and billing data models. This hands-on role involves using Python, SQL, and modern data stack tools to build robust infrastructure and reporting systems while transitioning into a leadership capacity.
Plaud is seeking a Senior Backend Engineer to build and maintain an AI evaluation and data governance platform. The role involves designing distributed systems, implementing secure data access patterns, and creating reusable platform components to support AI-native product development.
Разрабатывает метрики и аналитику для улучшения поиска по видео и изображениям в Яндексе, исследует пользовательские запросы и внедряет новые фичи с помощью A/B-тестов и статистических методов.
Builds and scales web-based healthcare software that turns AI prototypes into production systems, working remotely with a startup focused on accelerating clinical research.
Design and implement modern big-data solutions on Databricks for enterprise clients, focusing on scalable data pipelines and AI integrations.
The Snowflake Solution Architect will join the Data & AI practice at NTT DATA to design and implement data solutions using Snowflake technology.
A Senior Data Engineer (ML) transforms data science prototypes into production-ready, scalable AI solutions by leading MLOps, CI/CD, and model monitoring. They collaborate with data scientists to optimize ML pipelines, ensure data quality, and champion responsible AI practices for government use.
Designs and implements scalable data systems for a physics-AI platform, mentors engineers, and leads technical architecture while collaborating with clients.
Software Developer in Test at an AI enablement consultancy, designing and implementing automation frameworks and testing solutions for clients across industries using Java/C#/TypeScript/JavaScript and tools like Playwright, Selenium, Cypress, or RestAssured.
Build and modernize banking software using Python, with a focus on high-performance applications and AI-enabled development for a leading investment bank.
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