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Build and scale MLOps infrastructure for an AI-driven ad platform, designing Prefect-based pipelines for training and deploying recommendation models that power real-time bidding at massive scale.
Lead the Infrastructure and Security team at BackOps AI, focusing on multi-cloud/on-prem deployment, reliability, and security posture including SOC 2 compliance. Manage engineers, implement guardrails, and oversee risk management for agentic AI supply-chain operations.
Senior Product Manager at a Tokyo AI startup, translating AI/ML technology into B2B SaaS products by bridging R&D and business stakeholders. Focuses on AI-powered document processing and workflow automation.
Develop and deploy computer vision models on edge devices, optimizing for performance and maintaining ML pipelines using Python and PyTorch.
As the first Technical Program Manager, you will define the engineering operating system and manage strategic programs for a supply-chain AI company utilizing agentic AI.
Applied AI Architect at OpenAI working with government clients to design and implement AI solutions using OpenAI's models (ChatGPT, API, Codex). Role spans technical strategy, architecture design, and guiding customers from evaluation to production adoption.
Designs and oversees end-to-end cloud architecture for a federal IT modernization project, focusing on document processing, AI-driven search, and workflow automation using Microsoft 365, SharePoint, and Azure Government services. Ensures secure integrations, compliance, and system cohesion while advising on restricted-service alternatives.
Owns AI-driven features at Toss, defining how ML models power recommendations, search, and personalization, and measuring their business impact through experiments.
This role involves designing robot foundation and world models, implementing generative models for robotic tasks, and generating simulation data. The engineer will also conduct research, publish papers, and apply for patents in generative AI and robotics.
Owns end-to-end delivery of AI-powered commerce launches with major partners, turning roadmaps into one plan and one tracker while coordinating across product, engineering, and account teams.
Full-stack engineer building a new SaaS product using Node.js, C#, or Python, handling big data, and owning the full cycle from idea to deployment in Kyiv.
Build scalable backend services using Node.js, NestJS, and TypeScript, utilizing AI tools like Claude Code for development in a cross-functional team.
Oversee quality workflows and technical tooling for AI/ML translation systems, ensuring data integrity and metrics accuracy through human-in-the-loop processes and statistical evaluation.
Senior Data & AI Engineer building a structured research data platform for investment research. Involves data pipelines, LLM applications, backend services, and cloud infrastructure.
Owns backend architecture and optimizes performance for AI products while coordinating frontend/backend teams to ship complex, high-concurrency systems.
Builds and maintains scalable AI platforms integrating Anthropic’s Claude models, enabling secure, governed enterprise AI solutions with RAG, agentic workflows, and enterprise data integrations.
Builds and operates secure, scalable AI platforms for enterprise LLM apps, RAG, and agentic workflows using cloud-native tools and ServiceNow integrations.
Builds AI-powered enterprise solutions (e.g., Claude-based agentic workflows, RAG systems) for ServiceNow integration, focusing on prompt engineering, workflow automation, and responsible AI deployment.
Designs and deploys scalable agentic AI architectures for enterprises, integrating Anthropic’s Claude with ServiceNow, enterprise data, and workflows. Focuses on RAG, LLM orchestration, security, and responsible AI deployment.
Own the roadmap for AI-powered autonomous agents and multi-agent systems, turning cutting-edge tech into customer-centric products integrated with ServiceNow.
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