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Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build AI agent workflows and front-end tools using LLMs (OpenAI/Claude), MCP, and React/AngularJS to enhance eBay’s developer and business workflows.
Build and deploy AI-powered workflows in Microsoft’s ecosystem (Azure OpenAI, Foundry, AI Search) to automate enterprise processes like HR and finance, using RAG, agentic workflows, and prompt engineering.
Build and scale real-time AI systems for crypto market intelligence, using LLMs, RAG, and streaming pipelines to turn social signals into actionable trading insights.
Lead AI Engineer designs and delivers enterprise-grade AI solutions, including LLM apps, RAG systems, and AI agents, while setting engineering standards and mentoring teams.
Design, build, and optimize AI and Generative AI solutions using Python, Azure OpenAI, LLMs, and RAG pipelines for enterprise automation.
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Build and deploy production-grade GenAI applications using LLMs, RAG, and agentic workflows integrated with Snowflake, focusing on reliability, observability, and semantic alignment.
Builds and maintains AI-powered cloud apps using LLMs, RAG pipelines, and vector databases for Doghouse’s SaaS and client projects.
Lead the design and deployment of advanced LLM-driven agentic AI systems for enterprise workflows, setting technical standards and mentoring teams to build robust, autonomous AI co-workers at scale.
Lead a team to integrate generative AI and LLMs into engineering practices, coach teams on safe AI use, and modernize SDLC with AI-first solutions.
Design and deploy AI-powered workflows and agents using LLMs and automation tools to automate business processes and improve productivity.
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
Senior AI Engineer builds and scales an enterprise AI orchestration platform, integrating LLMs and RAG workflows with cloud-native services to enable secure, scalable AI solutions across a construction-tech organization.
Builds and deploys AI-driven agentic platforms for enterprise clients, focusing on LLM orchestration and multi-agent systems using Python and modern AI frameworks.
Design and scale RAG pipelines that turn IT logs and docs into vector embeddings, maintain high-performance vector databases, and build semantic layers for AI agents.
Build and own TikTok’s search engine using ML, NLP, and multimodal systems to power AI-driven conversational search and personalized results.
Research and develop multimodal large language models (VLMs) to improve video and code understanding for TikTok’s content and R&D workflows.
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
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