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Lead the design and implementation of a reusable DevOps framework for AI agentic systems in cloud environments, scaling solutions across enterprise clients while ensuring security and collaboration with architects.
Senior Data Engineer building and maintaining data platforms, pipelines, and management tools using Apache Airflow, AWS Glue, Spark, and various database technologies at a healthcare AI company.
Senior Product Manager owning end-to-end product execution—discovery, specs, backlog management, and launch—for an AI-first marketing content compliance platform. Day-to-day involves writing requirements, running customer discovery with legal/compliance/marketing stakeholders, and working closely with engineering to ship cohesive platform features.
ML Research Intern focused on voice AI (STT, LLMs, neural audio codecs, TTS), owning an end-to-end research project using PyTorch on distributed GPU infrastructure with production telephony data.
Principal engineer leading the AI-first platform that measures Copilot’s quality at scale, designing agentic evaluation systems and reliability under heavy load.
Builds and optimizes next-gen networking infrastructure for large-scale AI training, focusing on low-latency, high-performance systems in Azure Cloud.
The GenAI Architect leads end-to-end client delivery and technical direction for an agentic AI platform. The role involves translating business requirements into architecture using RAG pipelines, MCP connectors, and hybrid orchestration across various enterprise systems.
Designs and scales AI-driven backend systems for real-time social media analytics, focusing on agentic workflows, LLM pipelines, and cloud infrastructure to deliver actionable insights.
Lead Anthropic's policy design team within the Safeguards org, defining and enforcing safety policies for Claude across societal harm areas including child safety, election integrity, and harmful manipulation, coordinating across research, product, and engineering.
Build modern, responsive web applications using Next.js for an AI-SaaS company focused on content creation and digital marketing, collaborating closely with AI, backend, product, and design teams.
Product Manager at an AI-powered analytics startup, connecting customer needs and market demands with the engineering team in a fast-paced, build-first environment. Involves B2B SaaS, data pipelines, APIs, and AI-native product development.
Build and maintain an autonomous AI agent platform for hardware validation, designing LLM agent frameworks, RAG pipelines, and developer tooling to automate testing and knowledge management without human intervention.
Software Development Engineer building infrastructure that accelerates silicon development at Annapurna Labs, working with cloud infrastructure, high-performance computing, and electronic design automation to support chip design teams.
Staff Data/Platform Engineer designing and scaling distributed data systems (Kafka, Flink, Spark, Delta Lake) for real-time streaming pipelines, analytics, and AI infrastructure at a conversational AI company. Remote in Brazil.
The Principal Data Scientist will act as a technical consultant, applying state-of-the-art machine learning and AI to support high-priority business use cases within the pharmaceutical development process.
Research and build AI models for accounting automation, designing experiments and evaluating performance to push technical boundaries.
Lead AI Engineer designs and builds cloud-based AI platforms for accounting, tax, and audit workflows, integrating LLMs (e.g., OpenAI) into scalable backend systems while leading cross-functional teams.
The Senior Test Engineer will design and maintain automated end-to-end test suites for HeartFlow's AI-driven medical software, ensuring compliance with regulated medical device standards. The role involves leading automation strategy, mentoring team members, and collaborating with cross-functional teams to validate clinical computation services and 3D visualization tools.
The Test Architect will lead the technical strategy for end-to-end test automation and AI-driven quality initiatives for HeartFlow's medical device software. This role involves architecting testing frameworks, ensuring regulatory compliance, and mentoring engineering teams to support the company's AI-driven cardiac diagnostic products.
Own AI agents and MCP tools that apply LLMs to threat-intelligence workflows; design, evaluate, and ship agents and tool integrations that solve real customer problems.
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