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Build and maintain production-ready Python applications using Django and Odoo, integrating external services and APIs with a focus on stability and quality.
The Senior Cloud & Data Infrastructure Engineer will design and evolve the cloud, data, and AI infrastructure supporting a genomics-based drug discovery platform. The role involves leading AWS architecture, collaborating with cross-functional scientific teams, and mentoring engineering staff.
Acorn is seeking a full-stack developer with a frontend focus to build and maintain their AI-driven PLMS platform. You will work within a backend-leaning team to develop interfaces for learners and administrators while collaborating with cross-functional product teams.
Senior Product Manager for Upwork’s Match Platform, owning AI-powered search/recommendation infrastructure (matching, personalization, embeddings) to improve relevance and reduce duplication across product surfaces. Partners with engineering, ML, and data teams to build shared capabilities for global talent-marketplace matching.
The GCP Cloud Engineer will design, deploy, and industrialize data, web, and AI solutions on Google Cloud Platform for clients, with a focus on FinOps and security. The role requires extensive cloud experience and offers remote work flexibility.
Build and maintain AI-powered data pipelines for healthcare AI systems, ensuring data quality, privacy, and scalability using Python, Dagster, BigQuery, and GCP.
Designs and maintains data infrastructure for ML pipelines, managing provisioning, automation, and monitoring to support seamless ML training and inference workflows.
Builds and deploys GenAI applications (LLM-based assistants, search engines, automation tools) by designing RAG pipelines, integrating cloud AI models, and ensuring scalability, security, and performance for enterprise clients.
Liberate is seeking a Senior AI Agent Engineer to lead technical customer integrations and solutions engineering for their AI-driven insurance workflow automation platform. The role involves collaborating with sales and product teams to design, demonstrate, and implement AI solutions while providing ongoing technical support to enterprise clients.
Разрабатываете и поддерживаете E2E-автотесты на Kotlin для Android-приложения AI-продукта в сфере развлечений, тестируете функциональность, API и AI-сценарии.
Principal AI Silicon Architect designs and optimizes hardware architectures for AI workloads, collaborating with software and hardware teams to deliver high-performance, scalable cloud infrastructure at Microsoft.
Principal AI Silicon Architect designs and optimizes AI accelerator hardware for Microsoft’s cloud, collaborating with teams to deliver high-performance, scalable silicon solutions.
The AI Agent & Full-Stack Engineer will design intelligent applications and agentic architectures, integrating AI solutions into enterprise environments using full-stack technologies and OpenAPI.
Designs and builds Databricks pipelines to ingest, clean, and transform data for analytics and ML models in a cloud-native environment.
Build and scale AI-powered security analytics infrastructure, including data pipelines, ML detection systems, and incident-response tooling for a cutting-edge AI company.
An AWS Platform Engineer: Developer at Baringa designs, develops, and deploys CI/CD systems and Infrastructure as Code for cloud-based data analytics platforms, focusing on security, compliance, and scalability.
Build and operate a resilient, scalable data and ML platform using Databricks, Snowflake, and cloud-native tools to support healthcare analytics and AI workloads.
Builds and leads the XR audio platform and wakeword systems for AR glasses and headsets, focusing on low-power capture, real-time processing, and scalable architecture.
The Full Stack AI Engineer will design, develop, and deploy AI-powered applications by building and integrating AI/ML and Generative AI solutions into scalable frontend and backend systems.
This AI engineer role involves designing and deploying bespoke AI agents and predictive analytics solutions for enterprise clients. The position requires strong machine learning foundations and experience with modern AI technologies like LLMs and agentic workflows.
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