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Manage the end-to-end technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the end-to-end technical migration of templates to LLM autoraters using internal prompt engineering tools. This includes creating baseline prompts, supervising automated optimization, and measuring quality against human baselines using accuracy metrics.
Manage the end-to-end technical migration of templates to LLM autoraters using internal prompt engineering tools. This includes creating baseline prompts, supervising automated optimization, and measuring quality against human baselines using accuracy metrics.
Lead a team in migrating templates to LLM autoraters using advanced prompt engineering and optimization tools. Oversee the creation, testing, and refinement of prompts while monitoring model performance against human baselines.
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Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the end-to-end technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
The role involves managing the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Responsibilities include drafting manual prompts for edge cases, monitoring shadowbot runs, and calculating accuracy metrics against human baselines.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate chatbot responses and create prompts to improve large language models.
Contributors will annotate and label data, evaluate AI responses for quality, and create prompts to improve large language models. The role focuses on ensuring AI content is accurate, inclusive, and culturally relevant.
Contributors will annotate text, images, and audio to train AI systems and evaluate chatbot responses for quality. They will also create and test prompts to improve large language models and ensure cultural accuracy.
Contributors will annotate and label data, evaluate AI-generated responses for quality, and create prompts to improve large language models. The role involves ensuring that AI content is accurate and reflects cultural and linguistic nuances.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate chatbot responses and create prompts to improve large language models.
Contributors will annotate text, images, and audio to train AI systems and evaluate chatbot responses for quality. They will also create and test prompts to improve large language models and ensure cultural accuracy.
Responsible for the security and integrity of the underlying infrastructure, safeguarding the platform from vulnerabilities and threats. This includes developing vulnerability management tools and ensuring compliance with industry standards like ISO27001 and SOC2.
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Responsible for the security and integrity of the underlying infrastructure, safeguarding the platform from vulnerabilities and threats. This includes developing vulnerability management tools and maintaining secure Kubernetes clusters across multiple continents.
Define and drive the long-term architectural vision and strategy across multiple products and domains at company scale. Lead cross-organizational initiatives, solve complex technical challenges, and mentor senior engineering talent to elevate technical standards.
Support the development of Python-based backend applications for the AI-powered ESG solution 'Ribeca'. Work on processing and analyzing structured and unstructured datasets, including map data, and collaborate with technical teams on model evaluation.
Build and optimize a cross-platform video processing and rendering engine using FFmpeg and Skia. Develop WebAssembly infrastructure and iOS integrations to enable high-performance video editing across web and mobile platforms.
Build and extend a canvas-based video editor using PixiJS and WebGL to create high-performance creative tools. Develop collaboration features including co-editing, commenting, and approval workflows for global brand social teams.
The role focuses on maintaining CI/CD pipelines, automating code testing and deployment, and managing infrastructure using code. It also involves monitoring application performance, resolving errors, and implementing security best practices.
The Senior QA Engineer focuses on improving the quality and functionality of Ignition software through automated and manual testing. Responsibilities include developing test plans, mentoring junior engineers, and collaborating with development teams to ensure requirement testability.
Architect and deploy production-grade RAG pipelines and agentic workflows to process complex multimodal data for government and military clients. Balance high-level R&D and experimentation with the delivery of scalable, production-ready software on AWS.
Lead the technical vision and architectural strategy for high-impact data pipelines serving US government and defense agencies. Develop production-ready code to solve complex challenges in data orchestration and AI-first infrastructure for sensitive workloads.
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Responsible for data transfer and the development of interfaces and integration processes within SAP S/4HANA implementation projects. This includes monitoring interfaces, troubleshooting errors, and collaborating with consultants to implement technical solutions.
The role involves building and operating CI/CD pipelines and automating application deployment within OpenShift environments. It also focuses on integrating IAM components and managing infrastructure using Terraform and Ansible.
Design and deploy end-to-end AI-powered products and autonomous agents to automate mortgage lending workflows. Build document intelligence pipelines and AI-driven borrower experiences to compress complex tasks into minutes.
Design and implement end-to-end features from Backend (Node/NestJS) to Frontend (Angular), focusing on dynamic forms and monitoring dashboards. Maintain platform stability through bug fixes, production support, and ensuring compliance with ISO 27001 and SWIFT standards.
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