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Build and deploy Python ETL pipelines, AI agent workflows, and cloud infrastructure to transform maritime data into actionable insights for the global shipping industry.
Build and scale AI/ML services and data pipelines in Python/Java, using Docker/Kubernetes and Flask/FastAPI to enable new AI capabilities.
Design and build cloud-native data and AI platforms on AWS and Snowflake, owning pipelines and production deployments with Python/Java.
Build and deploy GenAI systems for enterprise customers, focusing on Text-to-SQL and semantic data modeling to scale AI solutions on Google Cloud.
Design and build enterprise agentic AI systems and hybrid workflows, integrating APIs and modern security practices while collaborating with architects to scale reliable AI services.
Designs and deploys end-to-end AI workflows and integrates agentic AI into enterprise systems using Python, SQL, LangChain, APIs, and cloud infrastructure.
Senior backend engineer building API services and data pipelines that connect a product to LLM systems, handling document retrieval and ensuring fast, reliable AI-powered results at scale.
Build backend services for intelligent automation and AI agents using Python and GenAI on Google Cloud Platform.
Build and deploy enterprise-grade AI solutions on Microsoft Azure, converting unstructured documents into actionable insights and automating workflows with .NET/Python.
Senior AI Engineer designs and deploys production AI systems and ML models to solve financial and operational challenges using Python, AWS, and GenAI tools.
Build and deploy AI-first contract intelligence features using LLMs, RAG, and agentic workflows to automate document review and accelerate deal-making for enterprise customers.
Build and deploy enterprise LLM features, agentic workflows, and RAG systems within Workday’s product ecosystem using data engineering stacks.
Build and scale AI infrastructure for industrial automation, bridging research and production with MLOps and distributed systems.
Build and scale the backend AI systems powering an agentic healthcare platform, including low-latency inference pipelines and workflow automation for patient-facing care orchestration.
Build and deploy enterprise-grade AI solutions using LLMs, predictive models, and agentic workflows on AWS, Snowflake, and Palantir Foundry to deliver scalable analytics and insights across Merck’s business functions.
Designs and deploys enterprise AI systems, including LLM workflows and predictive models, on AWS and Snowflake to deliver scalable, reliable insights across Merck’s business functions.
Build and deploy generative AI models for healthcare, focusing on LLM fine-tuning, agent frameworks, and scalable AI systems to improve patient outcomes.
Designs and scales secure backend infrastructure on Google Cloud for generative AI agent lifecycles, building high-performance APIs and ensuring global reliability.
Designs and builds backend services and LLM orchestration pipelines for an AI infrastructure company using Python and APIs.
Builds backend infrastructure for Google’s AI agent platform, designing secure cloud services that enable developers to create, deploy, and monitor enterprise-grade AI agents at scale.
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