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Build a scalable Financial Sync ERP platform for integrating data with accounting systems, using TypeScript, Node, Java, and Kafka.
Deploy Goodfire's AI interpretability platform into customer environments, building production integrations and pilots using Python and ML frameworks like PyTorch to bridge research and production.
Builds core SDKs and backend services in Kotlin to power Speechify’s cross-platform audio-information product, optimizing parsing and loading for millions of users.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python.
Build and maintain Speechify’s backend services (payments, subscriptions, TTS APIs) using Node.js/TS on GCP, collaborating with AI teams to scale a text-to-speech platform used by 50M+ people.
Build and maintain Speechify’s backend services (payments, subscriptions, TTS APIs) using Node/TS on GCP, collaborating with AI teams to scale a text-to-speech platform used by 50M+ people.
Build and maintain reliability for Cisco’s AI-powered applications by defining SLIs/SLOs, creating LangGraph agents for diagnostics, and developing Looker dashboards on BigQuery/BigTable to ensure feature uptime and self-healing workflows.
Lead the design and deployment of enterprise-scale Generative AI systems using LLMs, RAG, and agentic workflows, while ensuring security and scalability in a regulated financial environment.
Build and deploy production-grade generative and agentic AI systems on Microsoft Azure using Python, FastAPI, and cloud-native tools to automate tax and immigration workflows and back-office processes.
Build and deploy predictive ML and generative AI solutions—including agentic workflows and LLM pipelines—to automate risk, compliance, and governance tasks across JPMorgan Chase’s business processes.
Develops AI-driven enterprise web apps using modern stacks (Java/Python/JS) and cloud services, focusing on clean code, automated testing, and CI/CD while integrating AI tools for productivity.
Lead AI-enabled technology programs at JPMorgan Chase, coordinating cross-functional teams to deliver high-impact projects that align with business goals and leverage GenAI tools.
Builds backend services that ingest IoT, video, and energy data, deploy AI models, and integrate vendor APIs to power smart logistics and facility operations.
Develops advanced software for semiconductor device modeling and AI-assisted engineering automation using C++/Python, working with platforms like IC-CAP and MBP.
Own the product roadmap for Adobe’s knowledge and retrieval layer, turning raw data into agent-ready assets via modeling, APIs, and RAG pipelines while ensuring freshness and trust signals.
Lead the creation of a new cybersecurity practice for mid-market Canadian firms, embedding security into Azure, AI, and agentic-AI transformations while advising CIOs/CISOs on governance, risk, and cloud-native defenses.
Build Python-based AI agents to automate business processes like Excel data extraction and normalization, combining deterministic logic with LLMs for enterprise workflows.
Lead a team building secure, scalable banking systems using Java, React, AWS, and AI tools to enhance products and accelerate development cycles.
Build and maintain AI-driven automated test suites for Cisco’s Circuit AI platform using Playwright, Python, and k6, ensuring reliability and performance across releases.
Build and maintain enterprise Generative AI applications using Python, retrieval workflows, prompt design, and conversational AI integrations for Disney’s media platforms.
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