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Senior AI QA Platform Engineer builds an AI-driven test orchestration system using Amazon Bedrock and Playwright to automate test generation, execution, and defect analysis.
Builds and deploys ML models for Firecrawl’s search and data extraction systems, focusing on ranking/relevance, LLM-driven features, and A/B testing frameworks.
Build and maintain cloud-based data platforms using IaC and CI/CD, ensuring reliability and scalability for advanced analytics and AI workloads.
Builds and modernizes high-volume transactional microservices in Go/Rust using AI-assisted Spec-Driven Development, migrating legacy Java systems and ensuring robust testing and deployment on Kubernetes.
Leads commercialization of AMD’s embedded x86 Customer Reference Boards and Developer Platforms, defining product strategy, go-to-market plans, and market success across embedded markets like industrial automation, robotics, and edge AI. Bridges technical and business priorities with cross-functional teams (engineering, sales, operations) to drive product launches and customer adoption.
Build and own full-stack features for a Medicare broker platform using modern JS and Python, while driving architectural decisions and AI-powered tooling adoption.
Drive AI-augmented stability analysis for Apple’s operating systems, using Python and SQL to proactively detect issues and lead cross-functional resolution efforts.
Test and validate AI-enabled software systems, ensuring reliability and performance for clients in an AI consultancy.
Design and deliver scalable data platforms and AI-driven pipelines for clients in Saudi Arabia, using SQL, Python, and cloud tools to enable analytics and machine learning.
Designs and deploys secure, scalable Azure cloud infrastructure with a focus on AI and data workloads, using Terraform and scripting to automate deployments and support AI model development.
Build and maintain automated pipelines to extract and structure regulatory text into compliance-ready data, collaborating with AI engineers and compliance experts to ensure real-time updates across global jurisdictions.
Designs and maintains scalable Databricks-based data pipelines, integrates AI tools, and ensures data accessibility across the organization while leading technical governance and CI/CD processes.
Design and build cloud-based data platforms, lead technical solution design for client projects, and drive AI/GenAI adoption while collaborating with stakeholders.
Leads the design and implementation of an AI-driven cloud data platform, integrating GenAI into projects while collaborating with clients and shaping team practices.
Designs and builds a modern AI-focused data center network from scratch, including physical fiber topology, IP addressing, VLAN/VRF, rack connectivity, and multi-ISP BGP. Owns day-to-day operations, troubleshooting, and automation for high-density GPU infrastructure.
Builds and maintains AI-assisted web solutions, focusing on full-stack development and AI agent orchestration.
Build and maintain scalable platforms using TypeScript, Node.js, React, and AWS, while integrating AI-driven features for user-facing and internal services.
Build and enhance proprietary executive-network platforms using TypeScript, React, Node.js, and AWS, integrating AI to improve user experience and system performance.
Builds and optimizes automated testing infrastructure, CI/CD tooling, and developer workflows to accelerate high-quality software delivery at scale, collaborating closely with DevOps and engineering teams.
Own end-to-end cloud data projects, leading cross-functional teams to deliver Databricks-based data products and ML solutions on time and within scope.
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