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Build and orchestrate autonomous AI agents that reason, plan, and execute workflows using Hermes Agent and MCP, integrating tools and memory systems for production-grade applications.
Oversee AI/LLM data operations, ensuring client KPIs are met while driving standardization and continuous improvement in a fast-paced, AI-native environment.
Lead a team of language specialists and AI associates to deliver, monitor quality, and ensure compliance for Large Language Model programs while managing throughput and turnaround standards.
Design and deploy AI/ML models (LLMs, vision, agents) for clients using Python, TensorFlow/PyTorch, and cloud platforms; lead projects and collaborate directly with stakeholders.
Design and build AI-driven features (generative/agentic) for a large web platform, integrating them into cloud-native environments while collaborating with product and data science teams.
Lead AI Engineer at Worley in Brisbane to design and implement AI solutions for project delivery, mentor teams, and integrate AI into client projects.
Build and deploy enterprise-scale AI solutions for banking using Python and GenAI, collaborating with stakeholders to deliver practical outcomes.
Lead AI Engineer designs and implements AI solutions for clients, blending strategy with hands-on ML engineering to deliver practical AI-driven outcomes.
Build and ship AI agents and experiences for creators using frontier models, focusing on evaluation, safeguards, and production deployment.
Design, build, and deploy AI agents using Claude, Copilot, and Foundry while integrating with policy, claims, and data platforms.
Build and deploy AI agents and applications using Azure tools and Copilot Studio, ensuring responsible AI practices across six product teams.
Lead engineering standards and reusable AI-native platforms for an AI consultancy, setting lifecycle, agentic practices, and certification pathways to scale delivery across ANZ and APJ.
Разрабатывает и поддерживает Python-сервисы, интегрирует и дообучает ML/LLM-модели (WhisperX, GigaChat и др.), строит пайплайны данных и автоматизирует бизнес-процессы.
Lead a team building AI-native customer experiences using modern frontend stacks (React/Next.js) and generative AI systems (LLMs, RAG, agents) for global brands.
Builds and maintains GenAI and cloud-native applications for a global insurer’s North America Solutions Engineering team in Colombia.
Research and develop an Agentic AI framework, focusing on Generative AI applications while collaborating with a team in Singapore.
Build and test AI-driven features for humanoid robots, integrating vision-language models and simulation tools like Isaac Sim to process sensor data and plan robotic tasks.
Build and deploy AI/ML models for Singapore’s energy regulator, focusing on MLOps pipelines, model governance, and translating technical insights for stakeholders.
Lead a team building Python-based GenAI applications for financial-sector clients, designing scalable AI systems, RAG pipelines, and agentic workflows using LLM orchestration tools like LangChain.
Lead AI Engineer builds and deploys production LLM apps, designs reasoning agents, and integrates AI with cloud infrastructure and enterprise systems using Python and AWS.
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