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Build and integrate AI agents to automate performance and UI testing workflows using Python, LLMs, and tools like Selenium and JMeter.
Builds and maintains cloud-based data pipelines and SQL models on GCP, using BigQuery, dbt, and Airflow to support data-driven business processes in an international agile team.
Designs and runs evaluation frameworks for enterprise AI systems, including LLMs and RAG, to ensure accuracy, reliability, and compliance before production deployment.
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.
Lead the design and delivery of AI-powered, cloud-native platforms using React, Node.js, AWS, and AI APIs (OpenAI, Claude, Gemini) while mentoring engineers and setting engineering 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 deploy LLM-based AI systems for healthcare compliance, including voice-to-documentation and regulatory gap analysis, using Python, LangChain, and vector databases.
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.
Designs and builds generative AI systems using LLMs, agentic architectures, and RAG pipelines, then deploys and monitors them in production.
Build AI agents, RAG/vector search, and platform integrations to automate workflows and enhance ETP Hub with AI-enabled tools for document search, summarization, and task assistance.
Build and maintain Paychex’s HCM platform using .NET/C# and React, running services on Azure while ensuring security and reliability for payroll and HR data.
Build and enhance TikTok’s in-house data analytics platform (Aeolus) with AI-powered features like natural language querying, LLM agents, and automated insights to help users explore and analyze billions of rows of data efficiently.
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.
Build and deploy production-grade ML and generative AI models on AWS for fraud, identity, and decisioning products, collaborating with data scientists and engineers to productize solutions.
Design and build AI-powered applications and system infrastructure, including data pipelines and AI model integration, using Python, JavaScript, and DevOps tools.
Designs, builds, and deploys generative AI solutions using large language models on Microsoft Azure, focusing on cloud-native architectures and prompt engineering.
Build production-grade AI apps using LLMs, RAG, agentic workflows, and multimodal tech; own backend services, cloud deployment, and continuous optimization for Swiss enterprises.
Build and deploy AI-powered applications using Python/TypeScript, focusing on practical solutions with LLMs, RAG, or fine-tuning as needed.
Develops and maintains cloud-based AI agents and RAG pipelines on Azure, mentors engineers, and ensures production stability for healthcare diagnostic platforms.
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