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Build and maintain the AI and internal developer platforms, automating cloud resources, Kubernetes clusters, and CI/CD workflows for ML and dev teams using Azure, Terraform, and GitOps.
Leads product strategy and execution for Support Copilot, an AI-powered assistant for technical support engineers and customers, integrating AI workflows into case-management systems and optimizing AI performance through user feedback and data-driven improvements.
Senior Solutions Architect partnering with NVIDIA's GSI and AI consulting partners to design, build, and evangelize enterprise AI solutions using Agentic AI, LLMs, and NVIDIA's platform (NIM, Nemotron, Agent Toolkit).
Senior Solutions Architect advising academia/research on AI/ML workloads, integrating NVIDIA’s accelerated computing tools into LLM projects, and mentoring researchers to maximize impact via publications and technical adoption.
Senior QA Engineer at NVIDIA to design test plans, automate testing, and develop tools for AI/GPU software validation, ensuring high-quality products across gaming, automotive, and AI markets.
Build and maintain automated test frameworks for AI-native SaaS products, using AI tools to accelerate test creation and validate agent responses and model reliability.
Intern on Razer’s AVA Voice AI team, evaluating and improving voice interaction quality, latency, and reliability using AI/ML techniques and experimentation workflows.
An AI intern evaluates and benchmarks vision/agentic AI models for gaming quality assurance, builds evaluation tools, and researches emerging AI tech to improve product features.
Lead AI security governance and risk assessments for federal systems, defining controls and evidence standards to authorize AI deployments under evolving NIST and CNSS policies.
Develops and executes automated test suites to validate AI-generated documentation (LLM outputs) against codebase truth, ensuring accuracy and compliance with EU Cyber Resilience Act standards. Works with Neo4j, Qdrant, and open-weight LLMs to validate data pipelines, regression testing, and system-level documentation generation.
Develops AI/ML models and data science solutions for national security, space, and civil/commercial applications, focusing on scalable, mission-critical systems.
Lead end-to-end AI/ML development for payments, building generative and agentic systems on cloud infrastructure while ensuring scalable, secure, and compliant production deployment.
The Technical Program Manager will lead complex software cloud security projects by integrating AI/ML tools and intelligent automation into program planning and execution. The role involves cross-functional coordination to deliver high-quality security products while driving an AI-first vision across the engineering organization.
This senior engineering role at Jefferies involves designing and operating AI-assisted automation services to enhance global security operations. The position requires a software engineer to build LLM-backed systems and agentic workflows that integrate with various security platforms while ensuring robust security guardrails.
The AI Infrastructure Engineer will build and maintain Linux and GPU-based infrastructure to support AI platforms, performance testing, and technical sales efforts. The role involves automating benchmarking frameworks, managing compute clusters, and ensuring the reliability of lab environments.
The Senior Software Development Engineer will lead the design and implementation of foundational platform services for Amazon Quick, an enterprise-scale Gen AI digital workspace. The role involves building high-throughput data pipelines, managing complex data architectures, and mentoring engineers to deliver scalable, reliable platform capabilities.
The Principal Software Engineer leads the AI platform team at Parametric, designing and operationalizing generative AI solutions using LLMs, RAG, and transformer architectures. This role manages engineering staff and builds scalable, compliant platform-level services to support AI development across the organization.
The Junior Frontend Developer will build and maintain data labeling interfaces and web services for AI training projects using React and TypeScript. The role involves collaborating with the team to implement functional improvements and resolve incidents in a hybrid work environment.
The Staff AI Engineer will design and deploy scalable AI systems for an enterprise analysis platform, focusing on LLM optimization, model training, and infrastructure. The role involves collaborating with cross-functional teams to integrate AI into banking products using technologies like AWS, PyTorch, and vector databases.
The Lead AI Engineer will design and deploy scalable GenAI platform services, including agentic AI, guardrails, and model evaluation, to enhance banking products. The role involves optimizing LLM performance and infrastructure using technologies like PyTorch, AWS, and vector databases.
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