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Engage advanced language models daily with business scenarios, analytical questions, and strategy exercises to evaluate logical consistency and real-world applicability. Capture reproducible error traces and provide structured feedback to enhance model reasoning, prompt quality, and evaluation frameworks.
Engage advanced language models with religious or historical scenarios, analytical questions, and cultural context tasks, evaluating accuracy, neutrality, and logical consistency. Capture reproducible error traces and provide structured feedback to enhance prompt quality, evaluation frameworks, and model reasoning.
Specialists will engage advanced language models with policy scenarios, verify factual and institutional correctness, assess logical consistency and bias risks, and capture reproducible error traces. They will also provide structured feedback to enhance model prompts, evaluation standards, and analytical depth regarding political and governance topics.
Specialists will engage advanced language models with literary passages, analytical questions, and interpretation tasks, verifying factual accuracy and evaluating the depth and validity of literary analysis provided by the AI.
The AI Architect will be responsible for architecting and maintaining Python-based services using FastAPI for internal and customer-facing AI use cases, including building secure API endpoints that interface with LLMs and vector stores. Key duties involve implementing orchestration logic for agent workflows, optimizing performance, and collaborating across engineering teams to ensure system reliability and observability.
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The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces. They will also suggest improvements to prompt engineering and evaluation metrics to harden model reasoning.
The Tech Lead will own the design, building, and delivery of high-quality AI/ML solutions, with a strong emphasis on Generative AI and LLMs. This involves hands-on development, technical leadership, and mentoring AI engineers on best practices across AI engineering and MLOps.
The role involves building and evolving the core AI tutoring system, focusing on prompt architectures, agentic workflows, and real-time adaptive behaviors. Responsibilities also include running rigorous experimentation, designing scalable software integrations, and collaborating cross-functionally to translate pedagogical goals into technical solutions.
The main task involves designing and building applications using Python, which includes supporting component design, development, and maintenance while adhering to high technical quality standards. Responsibilities also extend to defining structured practices, designing data storage solutions, optimizing performance, and collaborating with clients and technical leaders on project execution.
The main task involves designing and building applications primarily using Python, while also supporting component design, development, maintenance, and defining structured practices for building and deployment. Responsibilities extend to designing data storage solutions, optimizing application performance, gathering user feedback, and assisting with client requirement analysis.
The specialist will review roadway images and inspection records to validate AI-generated outputs related to pavement distress and condition assessments. They will also annotate pavement features and provide feedback on model accuracy and classification.
The Senior Architect will act as an Industry Subject Matter Expert, driving solution conversations based on client needs and serving as a trusted advisor throughout their Azure-based Data & AI transformation journey. This role involves engaging with customers during the sales process, collaborating with sales on strategy, and leading the creation of reference architectures and reusable enablement content.
The Senior Consultant in AI will be responsible for designing, building, and delivering modern AI/ML solutions on Azure with minimal oversight, applying modern engineering practices to ensure scalability and quality. Key duties also involve contributing technical insight during client discovery sessions and translating business needs into actionable technical components.
The specialist will use proprietary software to provide labels, annotations, and inputs on projects involving video and multimedia elements to refine Grok's ability to interpret and generate video content. They must deliver high-quality curated data capturing nuances of motion, timing, transitions, and visual effects to enhance Grok's understanding of video.
Design and build interactive product experiences from concept to working demo. Prototype AI-first user experiences for poker learning and iterate based on user outcomes.
You will take overall technical responsibility for Application, Cloud, and AI solutions, acting as the leading contact for architecture, quality, and implementation. You will define, evaluate, and ensure the quality, security, and scalability of architectures while coaching developers and enforcing engineering standards.
You will converse with the model on language scenarios, verify factual accuracy and logical soundness, and document failures to improve AI models. Your expertise will help shape the training data for the next generation of AI.
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You will converse with the model on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces. Additionally, you will suggest improvements to prompt engineering and evaluation metrics.
You will converse with the model on language scenarios, verify factual accuracy and logical soundness, and document error traces. Your role will also involve suggesting improvements to prompt engineering and evaluation metrics.
You will engage with advanced language models on various language scenarios, verifying their accuracy and documenting errors. Your role will also involve suggesting improvements to prompt engineering and evaluation metrics.
The role involves designing and implementing full-stack applications, AI agents, and platform components to enable rapid GenAI agent development, validation, and deployment. Responsibilities also include building developer tooling, applying secure SDLC practices, and leading by example through hands-on architecture contribution and mentoring.
Design and implement core platform services exposed through high-quality APIs and SDKs for a unified data and AI/ML model development platform. Partner closely with AI/ML researchers, data engineers, and product teams to deliver a paved-path developer experience.
The AWS Engineer will design, build, and maintain scalable data pipelines and analytics platforms on AWS. This includes transforming raw data into analytics-ready datasets and ensuring data quality and compliance.
The Senior AI Infrastructure Engineer will design and implement a scalable control plane and contribute to the development of high-performance storage solutions. They will collaborate with operations teams to ensure the reliability and performance of the infrastructure.
Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment. Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
Design and implement full-stack applications and AI agents that enable rapid development and deployment. Mentor less experienced engineers and lead by example in driving architecture and ownership of larger projects.
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The primary responsibility involves applying civil or transportation engineering expertise to review and evaluate AI-generated outputs concerning roadway conditions, inspection workflows, and infrastructure assessment. This includes validating pavement condition classifications, checking data interpretations, and providing structured feedback to improve next-generation AI models.
The AI Sales Engineer will build relationships with technical stakeholders, lead product demonstrations, and assist in developing proof of concepts. They will also handle technical objections and act as a domain expert within AI/ML.
The Senior Software Engineer will evaluate, build, and apply tools in modernization projects, facilitating their usage across different project teams. They will also work closely with Product and Engineering teams to influence the MongoDB product roadmap.
The role involves developing, configuring, deploying, and optimizing state-of-the-art AI agents using LLMs, while building seamless integrations with external enterprise systems like APIs and CRMs. This engineer will also collaborate closely with customers to gather requirements, provide technical guidance, and ensure high-impact, cost-effective AI agent deployments.
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