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Build and integrate AI features (LLMs, agents, RAG) into existing products to automate data extraction, QA/QC, and infrastructure asset recognition for civil/transportation use cases.
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Build and maintain the back-end infrastructure for an AI-driven knowledge platform, focusing on knowledge graphs, vector databases, and data pipelines using Python/Java, SPARQL, and REST APIs.
Build and maintain the back-end infrastructure for an AI-driven knowledge platform, including knowledge graphs, vector stores, and APIs using Python/Java, SPARQL, and cloud services.
Build and maintain data pipelines in Snowflake that feed AI and GenAI tools, unifying travel-industry data from portfolio companies and SaaS platforms for analytics and AI-driven insights.
Build and ship full-stack web apps using React, Node.js/NestJS, and Python, while integrating AI tooling and LLM agents into products and workflows.
Build and scale secure AWS infrastructure (EKS, Lambda, Terraform) for AI/ML workloads, automate CI/CD with GitLab, and run a centralized observability stack (Prometheus/Grafana) to support production LLM inference and vector databases.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Lead generative AI and fraud-detection models at a global bank, building LLM apps, prompt engineering, and RAG pipelines to cut fraud losses and false positives.
Build and ship production-grade AI features (LLM integrations, RAG, agents) for an iGaming affiliate platform, turning prototypes into scalable, high-load services.
Lead a team building and scaling enterprise data platforms that power Citi’s AI, machine learning, and analytics, designing high-performance pipelines and feature stores for real-time and batch processing.
Senior AI Engineer builds voice and agentic AI systems, designing and deploying conversational agents and AI-driven workflows.
Senior AI Engineer to design, build, and deploy AI models and systems for Rootstrap's clients.
Design, train, and deploy ML models and data pipelines using PyTorch/TensorFlow and MLOps tools in a full lifecycle workflow.
Build AI-powered automation tools and agentic systems to streamline Apple’s engineering workflows, using Python, LLMs, and modern web frameworks.
Embed with a global manufacturer to design and ship governed agentic search workflows using Python/C# and enterprise search engines, bridging customer needs with Sinequa’s AI platform.
Build and ship generative-AI features for an ed-tech platform, engineering agentic workflows, RAG pipelines, and LLM-backed simulations using TypeScript, React, and cloud services.
Build and deploy production-scale AI systems at Adobe, focusing on LLMs, RAG pipelines, and Agentic workflows using Python, cloud platforms, and GenAI libraries.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js, Python, Java/Spring Boot) and cloud platforms (AWS/Azure/GCP), while leveraging AI coding assistants daily.
Senior Data Engineer builds and maintains AI-ready data pipelines and platforms for a global real-estate operator, enabling analytics and LLM integrations across property, financial, and IoT data sources.
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