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Senior Data Engineer builds and optimizes Spark applications on Azure/Databricks using Python, enforcing coding standards and collaborating with cross-functional teams to deliver scalable data pipelines.
Build and maintain AI-powered full-stack applications and agentic systems for a pharmaceutical client using Python, AI frameworks (LangChain, LangGraph), and AWS.
Build and ship full-stack GenAI systems and developer tooling that power AI agents, including a flagship medical assistant for physicians, using cloud-native stacks and modern LLM patterns.
Build and deploy GenAI agents and a central AI platform for healthcare, using full-stack development, cloud services, and AI agent patterns to improve clinical decision-making at scale.
Build and deploy a GenAI platform and AI agents for healthcare, focusing on scalable full-stack development, cloud-native systems, and secure AI workflows to accelerate medical decision-making.
Lead a cloud-native AWS data platform powering GenAI insights and underwriting intelligence, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Build and evolve Roche’s internal AI Agentic Platform, designing scalable agentic workflows, reusable components, and enterprise integrations for secure, compliant AI solutions in healthcare.
Lead a cloud-native AWS data platform powering underwriting intelligence and GenAI-driven insights, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Lead a team building an AWS-native data platform that powers underwriting intelligence and GenAI-driven insights using Python, .NET, Aurora PostgreSQL, OpenSearch, and LangGraph.
Build and fine-tune open-source LLMs for safety and customer-care agents using SFT, LoRA, and RLHF; design agentic workflows in LangGraph and ship production-grade AI systems handling millions of interactions.
Lead a team to design, build, and deploy generative AI and NLP solutions for clients using Azure OpenAI and LangGraph, from scoping to production.
Principal engineer defining and building next-gen AI agent platforms on Oracle Cloud Infrastructure, leading multi-team execution and hands-on design of scalable, secure, and cost-aware agentic systems.
Architect and deliver production-grade AI systems, including agentic workflows and RAG pipelines, using Python, LangChain, and AWS Bedrock. Work with clients to embed AI into enterprise processes and scale intelligent solutions.
Build and scale AI/ML pipelines and GenAI systems for GE HealthCare, automating model deployment, monitoring, and lifecycle management across hybrid/multi-cloud (AWS, Azure).
Build and scale production LLM-powered healthcare applications, including RAG pipelines, agentic systems, and evaluation frameworks, while ensuring compliance and reliability in a regulated environment.
Design and run the AI platform infrastructure that powers EY’s GenAI and agentic AI solutions, including deployment pipelines, observability, and governance at enterprise scale.
Senior full-stack developer building a B2B platform for global financial markets using Java, Python, Spring, and real-time data processing with AI/NLP features.
Build and deploy agentic AI systems for clients, designing multi-agent workflows, RAG pipelines, and tool-using LLMs with AWS Bedrock and LangChain, while owning end-to-end delivery from architecture to production.
Build and deploy GenAI solutions like LLM-powered apps and RAG pipelines using Azure OpenAI and LangGraph for enterprise clients.
Principal architect leading the design of AI-native, large-scale software platforms, from ideation to release, using generative and agentic AI across the full product lifecycle.
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