Design and build agentic AI systems and orchestration pipelines for a generative video platform. Translate stakeholder requirements into production-ready AI architectures while managing observability and performance evaluations.
Remote Software Engineer Jobs (35,764)
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Coordinate operational flows and drive alignment across the Energy Management System teams to ensure smooth execution. Manage cross-team dependencies, track technical timelines, and resolve operational bottlenecks to scale Heartbeat AI.
The specialist will review and analyze logistics documentation to help train next-generation AI systems. They will also evaluate supply chain workflows and provide detailed feedback on process optimization and industry compliance.
Develop and improve machine learning and statistical models to drive core algorithms for sports betting products. Collaborate with data engineering and product teams to deploy models and optimize performance through rigorous experimentation.
Develop and improve machine learning and statistical models to drive core algorithms for sports betting products. Create contextualized soccer feature sets and collaborate with engineering teams to deploy models into production.
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Own the technical roadmap and execution for the Search Data pillar to build a scalable platform for indexing and searching massive volumes of unstructured data. Lead the strategic technical direction and modernize legacy data processing systems to support AI and agentic retrieval.
Design, build, and ship AI solutions to automate workflows and enhance the Polaris IQ intelligence layer. Manage and develop a team of Junior AI Strategists while partnering with cross-functional engineering and product teams.
Design and build AI-powered finance agents and automated workflows for startups and SMBs. Own features end-to-end from architecture decisions to production monitoring and integration with accounting platforms.
Coordinate operational flows and drive day-to-day alignment across the Energy Management System teams to ensure smooth execution. Manage cross-team dependencies, track technical timelines, and resolve operational bottlenecks to scale Heartbeat AI.
Develop and maintain mobile test automation frameworks for iOS and Android using Appium and C#. Integrate automated tests into CI/CD pipelines via Azure DevOps and collaborate with stakeholders to translate requirements into testing solutions.
The role involves translating customer requirements into digital workflows and storyboards to configure and deploy Vyn solutions. You will also build customer dashboards and collaborate with cross-functional teams to integrate customer feedback into the product roadmap.
Design, build, and maintain scalable data pipelines and ingestion processes to ensure data quality and reliability across enterprise platforms. Support the development of modern data architecture and automate processes to improve operational efficiency for internal and external stakeholders.
Senior Product Owner - Industrial Data & Agentic AI Platform
Körber Group
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Full Time
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5 Weeks Ago
Körber Group
Define and evolve the product vision and roadmap for the Industrial Data & Agentic AI Platform. Translate operational needs into scalable AI capabilities and manage the product backlog to enable automation and operational intelligence.
Provide L3 engineering support for Palantir Foundry and Foundation environments, focusing on resolving complex technical issues and software defects. Maintain production pipelines, platform workflows, and contribute to platform governance and stability.
Lead technical engagements to accelerate customer AI workloads and reduce infrastructure costs. Develop proof-of-concepts and debug software for NVIDIA and open-source AI frameworks.
The intern will build and improve internal data models and dashboards using BigQuery, dbt, and Looker to support Astrafy's reporting needs. They will also collaborate with stakeholders to refine requirements for internal tools and may support selected client engagements.
Drive the architecture and optimization of generative AI applications with a focus on RAG pipelines and prompt engineering. Collaborate with the AI platform team to scale AI capabilities across the BMW Group and integrate data from various sources.
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Develop features for data ingestion, modeling, and syncing into a knowledge graph to power intelligence dashboards. Build integrations with third-party systems like Jira and ServiceNow while contributing to technical design and code reviews.
Design and maintain robust infrastructure to enhance the reliability, scalability, and performance of large-scale distributed content delivery systems. Collaborate with cross-functional teams to establish SLIs/SLOs and implement automation to optimize operational efficiency.
Website Implementation Specialist (Team Lead)
Dealer Alchemist
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Full Time
·
5 Weeks Ago
Dealer Alchemist
Lead the end-to-end build and launch of automotive dealership websites, managing timelines and coordinating between content and QA specialists. Act as the primary technical and project lead for dealer kickoff calls, technical configurations, and final site launches.
Define and lead the long-term technical vision and architecture for the organization's AI/ML platform and MLOps capabilities. Solve complex technical problems and mentor senior engineers to ensure scalable, enterprise-grade ML systems.
Build end-to-end fintech products using AI-assisted development tools like Claude Code and Cursor. Translate complex business requirements into production-ready code while owning the full technical architecture and quality control.
Lead technical relationships with Japanese developers by providing integration support and troubleshooting for trading APIs. Develop SDKs, sample applications, and AI-powered tools to enhance the developer experience and product roadmap.
Lead the design and development of scalable cloud-native backend solutions and secure microservices using Java, Python, and GCP. Provide technical leadership by mentoring engineers, conducting design reviews, and managing the application security posture.
Design, build, and evolve a cloud-native platform to power offensive security operations at scale. Focus on automating infrastructure delivery, managing Kubernetes environments, and improving developer experience and platform reliability.
Provide hands-on guidance, technical feedback, and mentorship to learners to ensure they are job-ready. Review coding projects and assignments while troubleshooting technical issues across various engineering disciplines.
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Design and build full stack web applications and AI-powered features for financial research products. Utilize AI coding assistants daily to develop scalable code and collaborate with the CTO and product team.
Design and develop complex security capabilities to defend against web-based threats and AI leaks. Own and maintain mission-critical, cloud-native microservices to ensure high availability for millions of global workspaces.
Provide essential support to inflight technical projects by maintaining project controls, schedules, and RAID logs. Coordinate with Delivery Leads and stakeholders to ensure projects are delivered consistently and commercially effectively.
Design and build custom RL environments and digital twins to simulate complex enterprise workflows. Post-train LLM-based agents using techniques like PPO and DPO to improve performance in high-stakes operations.
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