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Develops AI-powered backend services in Java/Spring Boot, integrating LLMs and MLOps pipelines for Airbus’ space system data management tools.
Senior ML Engineer builds and deploys enterprise-scale AI systems for Disney’s guest experiences, focusing on LLMs, agentic workflows, and MLOps pipelines.
Lead the design and development of ServiceNow solutions enhanced with AI agents, Graph RAG, and LangChain to automate workflows and improve user experiences using Python and JavaScript.
Designs and implements enterprise AI architecture, including GenAI (LLMs, RAG, agents) and production ML systems, ensuring scalability, integration, and governance across business functions like engineering, supply chain, and operations.
Designs, builds, and deploys advanced AI/ML solutions (Generative AI, LLMs, RAG, AI agents) to solve business challenges, leading architecture, development, and customer advisory efforts.
Designs and implements enterprise-scale AI solutions, focusing on agentic systems, RAG architectures, and model provider integrations to build scalable, production-grade AI systems for media applications.
Principal Software Engineer builds and scales AI-powered .NET and React applications, integrating LLMs and RAG systems while leading full-stack development and mentoring teams.
Designs and leads an enterprise AI platform for Guardian Life, focusing on developer experience, governance, and production execution of AI/agentic workloads using cloud-native and GenAI technologies.
Designs and modernizes data pipelines, migrating SQL Server to Hadoop/Databricks while enabling AI-driven insights and real-time analytics for Visa’s global payments infrastructure.
Designs and optimizes complex data pipelines, frameworks, and architectures for Amgen’s healthcare data, leveraging Databricks, Spark, and AWS to enable self-service analytics and AI-driven insights.
Build and maintain cloud-native AI infrastructure on AWS and Azure, deploying and operating AI services, Kubernetes workloads, and MLOps tooling in a regulated banking environment.
Leads full-stack AI development, integrating LLMs, vector databases, and RAG architectures into production systems with Python, PostgreSQL, and cloud/AWS infrastructure.
Develops AI/ML solutions for government clients, focusing on LLM-driven systems, full-stack engineering, and DevSecOps pipelines to modernize digital engineering capabilities.
Develops and deploys advanced Generative AI solutions (LLMs, multimodal models) for healthcare operations, focusing on prompt engineering, model optimization, and ethical AI practices.
Designs and optimizes GPU-powered infrastructure for GenAI/LLM workloads, focusing on distributed training, performance tuning, and Kubernetes/OpenShift deployments.
Design and build scalable data pipelines using Databricks, Spark, and AWS to enable analytics and AI-driven insights for a biotech company.
Lead the enterprise rollout of GitHub Copilot and build AI agents/agentic workflows to accelerate software delivery at FIS, using LLMs, Python, LangChain, and cloud platforms.
The AI Engineer will design, develop, and deploy Generative AI solutions, including chatbots, copilots, and RAG-based applications using Azure, Python, and various AI frameworks. The role involves integrating AI services into enterprise applications and maintaining MLOps workflows.
The Senior Staff Site Reliability Engineer will lead the architecture and development of NVIDIA's enterprise AI runtime platform, focusing on Kubernetes-based systems for deploying and scaling AI applications and databases. The role involves building control-plane services, optimizing GPU scheduling, and establishing standards for high-performance AI inference infrastructure.
Maintain and automate distributed systems for NVIDIA’s AI-powered products, focusing on reliability, observability, and cloud-native infrastructure.
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