Lead/Staff Full Stack Engineer, AI Platform & Agents
Design and implement full-stack applications and AI agents that enable rapid development and deployment. Collaborate with product, UX, and domain experts to deliver customer-focused solutions.
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Design and implement full-stack applications and AI agents that enable rapid development and deployment. Collaborate with product, UX, and domain experts to deliver customer-focused solutions.
You will converse with the model on language scenarios, verify factual accuracy and logical soundness, and document error traces. Additionally, you will suggest improvements to prompt engineering and evaluation metrics.
As an AI Agent Engineer, you will develop, configure, deploy, and optimize AI agents while ensuring high-impact deployments. You will collaborate with customers and internal teams to gather requirements and refine solutions.
As a member of the Research Staff, you will develop Latent Space Models to address challenges in building robust voice AI. Your research will involve creating neural audio codecs, generative models, and embedding systems to enhance voice interaction capabilities.
Support end-to-end AI feature development by designing, building, and maintaining scalable, reliable, and performant systems. Collaborate with product, research, and infrastructure engineers across AI initiatives.
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You will write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, while building high-volume analytics systems. Additionally, you will design and build APIs specific to customer workflows and contribute to the development of in-house AI agents.
You will record scripted material and assess AI-generated outputs for linguistic accuracy and naturalness. Additionally, you will annotate errors and collaborate with the team to refine prompts and voice design guidelines.
You will record scripted material and assess AI-generated outputs for linguistic accuracy and naturalness. Additionally, you will annotate errors and collaborate with the team to refine prompts and voice design guidelines.
You will review and discuss garment quality inspection scenarios with the AI model and verify whether its reasoning aligns with real factory QC practices. Additionally, you will evaluate defect classification and suggest improvements to training prompts.
You will review and discuss garment quality inspection scenarios with the AI model and verify whether the model's reasoning aligns with real factory QC practices. Additionally, you will evaluate defect classification and suggest improvements to training prompts.
You will review and discuss garment quality inspection scenarios with the AI model and verify whether its reasoning aligns with real factory QC practices. Additionally, you will evaluate defect classification, analyze inspection workflows, and suggest improvements to training prompts.
You will review and discuss garment quality inspection scenarios with the AI model and verify whether its reasoning aligns with real factory QC practices. Additionally, you will evaluate defect classification, analyze inspection workflows, and suggest improvements to training prompts.
You will review and discuss garment quality inspection scenarios with the AI model and verify whether its reasoning aligns with real factory QC practices. Additionally, you will evaluate defect classification and suggest improvements to training prompts.
You will converse with the AI model on language scenarios, verify factual accuracy, and capture reproducible error traces. Additionally, you will suggest improvements to prompt engineering and evaluation metrics.
You will converse with the model on editing scenarios and theoretical audio engineering questions, verifying technical accuracy and creative logic. Additionally, you will capture reproducible error traces and suggest improvements to prompt engineering and evaluation metrics.
You will converse with the model on editing scenarios and theoretical audio engineering questions, verifying technical accuracy and creative logic. Additionally, you will capture reproducible error traces and suggest improvements to prompt engineering and evaluation metrics.
As an AI Coach, you will empower teams to leverage Copilot or Gemini effectively to enhance productivity. Your role includes delivering demonstrations, facilitating training, and providing guidance to maximize the value of these tools within the organization.
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You will write maintainable, scalable, and performant code across the stack primarily in Typescript and React, and design and build APIs specific to customer workflows. Additionally, you will collaborate with product and design teams to enhance product offerings and contribute to architectural decisions.
You will converse with the model on real-world ASL communication scenarios and verify linguistic accuracy and cultural appropriateness. Additionally, you will document failures and suggest improvements to prompt engineering and evaluation metrics.
You will converse with the model on clinical scenarios and nursing judgment questions, verifying factual accuracy and logical soundness. Additionally, you will document errors and suggest improvements to enhance the model's performance.
You will converse with the model on software engineering tasks and technical scenarios using Python, verifying logical accuracy and coding fluency. Additionally, you will assess code quality and clarity, capture reproducible error traces, and suggest improvements to prompt engineering and evaluation metrics.
You will converse with the model on infrastructure and platform engineering tasks, verifying architectural soundness and assessing code quality. Additionally, you will analyze performance bottlenecks and suggest improvements to strengthen model reasoning.
You will engage the model on Java-centric infrastructure tasks and verify architectural decisions related to performance metrics. Additionally, you will assess testing strategies and analyze deployment risks.
The HPC AI Technologist will gather client requirements and design optimized solutions, deploying new or augmenting existing HPC/AI solutions. They will also consult on day-to-day management of clients’ research compute infrastructure environments.
The HPC AI Technologist will gather client requirements and design optimized solutions for research computing systems. They will also deploy new solutions and assist with the management of clients' research compute infrastructure.
The Staff AI Engineer will build and scale the AI Agent platform, enabling high-volume, real-time conversational workflows. They will design and implement APIs and services to manage complex customer interactions and ensure system reliability.
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Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development. Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
You will converse with the model on software engineering tasks and technical scenarios using TypeScript, verifying logical accuracy and coding fluency. Additionally, you will assess code quality and clarity, capture reproducible error traces, and suggest improvements to prompt engineering and evaluation metrics.
You will converse with the model on software engineering tasks and technical scenarios using Rust, verifying logical accuracy and coding fluency. Additionally, you will assess code quality and clarity, capture reproducible error traces, and suggest improvements to prompt engineering and evaluation metrics.
You will converse with the model on software engineering tasks and technical scenarios using PHP, verifying logical accuracy and coding fluency. Additionally, you will assess code quality and clarity, capture reproducible error traces, and suggest improvements to prompt engineering and evaluation metrics.
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