Senior AI Quality Engineer (LLM Evaluation & Automation) 1754
Build and maintain an MVP evaluation harness including golden tasks and scorecard metrics. Integrate quality evaluations into the CI pipeline to gate releases and prevent regressions.
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Build and maintain an MVP evaluation harness including golden tasks and scorecard metrics. Integrate quality evaluations into the CI pipeline to gate releases and prevent regressions.
Train and evaluate next-generation Large Language Models by auditing model logic, code, and reasoning. Provide high-quality human feedback to refine RLHF frameworks and benchmark model performance.
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 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.
Provide oversight to frontline NOC teams to ensure 24x7 service uptime and rapid incident response for AI cloud infrastructure. Manage compute, storage, and network resource pools while driving automation and documentation efforts to improve reliability.
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Develop and maintain scalable Python applications, backend services, and production-ready Agentic AI solutions, including autonomous agents and multi-agent workflows. Integrate LLMs, APIs, tool and function calling, and RAG where applicable, while supporting testing, deployment, and optimization.
You will serve as the primary technical architect for large-scale AI and HPC customer initiatives, bridging the gap between business objectives and hardware execution. Responsibilities include designing GPU supercomputing clusters, generating detailed bills of materials, and guiding customers through successful deployments.
You will serve as the lead technical architect, designing the platform's infrastructure, data layers, and AI agent workflows while guiding a distributed team of engineers. You will be hands-on in building core framework skeletons and defining technical standards for production-grade AI systems.
You will build and scale an AI platform that enables internal teams to autonomously create, monitor, and iterate on AI agents. This involves designing system architecture, integrating AI agents into internal business tools, and ensuring the safety and accuracy of automated operational tasks.
The AI Developer Tools Engineer will design and maintain tooling that enables AI coding agents to build effectively on the Midnight blockchain. This role acts as a bridge between developer feedback and the core protocol roadmap to ensure the platform remains a top-tier target for agentic software development.
You will own end-to-end ML/AI systems, including data pipelines, model training, and serving infrastructure. Additionally, you will build and optimize LLM-powered applications, RAG pipelines, and multi-agent orchestration systems.
Design, build, and maintain scalable backend services using Java and Python while managing distributed systems and data pipelines. Take full ownership of features throughout their lifecycle and collaborate with teams to implement AI-assisted development workflows.
Design and develop edge machine learning systems and scalable infrastructure to improve the autonomy and safety of construction robots. Optimize computer vision and sensor fusion models while integrating cloud-based AI tools into the autonomy stack.
You will build and maintain the internal agentic AI platform, Hopper, focusing on agent orchestration, secure connectors, and reliable runtime environments. You will collaborate across teams to develop reusable components that enable coding, data analysis, and automation for all employees.
Develop and maintain scalable data pipelines and models to support cybersecurity, GRC, and AI-assisted workflows. Collaborate with cross-functional teams to ensure data reliability, audit readiness, and effective integration with enterprise platforms.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
The Senior Dynamics 365 Engineer will design, deploy, and optimize core business applications across Sales, Field Service, and Intelligent Order Management. They will also lead the development of agentic workflows using Microsoft Copilot Studio and integrate AI-driven autonomous tasks into existing business logic.
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The intern will develop an LLM and VLM tool to support multi-modal content and external enterprise data sources. They will also build secure connectors for authentication, document ingestion, and retrieval workflows within a scalable backend architecture.
Lead the design and development of production-grade autonomous and multi-agent AI systems. Oversee technical leadership and the creation of AI agents to support software development workflows including coding, testing, and CI/CD.
The AI Engineering Strategist will design and build production-quality AI solutions that integrate seamlessly into client workflows to drive business impact. They are responsible for the full project lifecycle, from technical architecture and development to stakeholder presentation and team documentation.
Lead the end-to-end delivery of AI engineering projects from problem definition through production deployment on GCP. Direct external contractors and collaborate cross-functionally to translate business needs into technical specifications and scalable AI infrastructure.
The instructor will create and maintain AI automation course content while leading live online sessions for cohorts. They are responsible for mentoring students, developing hands-on projects, and providing constructive feedback on assessments.
The instructor will create and maintain cloud engineering and AI course content while leading live online sessions for cohorts. They are responsible for mentoring students, developing hands-on projects, and providing constructive technical feedback.
The instructor will create and maintain backend software engineering and AI course content while leading live online sessions for cohorts. They are responsible for developing hands-on projects, mentoring students, and providing constructive technical feedback.
Design physical objects using open-source CAD software while having your engineering workflow captured to train AI models. Write and execute Python validation scripts to support your design tasks across varying levels of complexity.
Design physical objects for 3D printing using open-source CAD software while documenting your engineering workflow. Write and execute Python validation scripts to support design tasks and help train AI models.
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Design physical objects for 3D printing using open-source CAD software while capturing your workflow to train AI models. Execute Python validation scripts to support design workflows and engineering problem-solving tasks.
Design physical objects for 3D printing using open-source CAD software while having your workflow captured to train AI models. You will also be responsible for writing and executing Python validation scripts to support your design process.
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