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Build and deploy LLM-powered assistants, RAG apps, and AI agents on enterprise platforms like ChatGPT Enterprise and AWS, using Python, TypeScript, and cloud-native tools.
Architect and lead the ServiceNow-based enterprise workflow automation platform, integrating core systems and managing a development team to ensure scalability, security, and alignment with business needs.
Data Engineer builds and validates cloud data pipelines on AWS/Snowflake using DBT and Airflow, with Informatica IICS, for a global pharma client’s commercial vaccines project.
Build and own scalable ETL/ELT pipelines and analytics layers in a modern data stack, transforming raw data into reliable insights for business decisions.
Build and maintain Azure Synapse-based data pipelines, integrate third-party systems, and design optimized data models for analytics and reporting.
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Build and maintain Affirm’s scalable batch-infrastructure platform to run ML, financial, and product workloads reliably on AWS, Kubernetes, and workflow orchestrators like Airflow.
Build and run AI-driven marketing campaigns for n8n’s open workflow orchestration platform, owning multi-channel activation and pipeline generation.
Builds and maintains scalable data pipelines and warehouse infrastructure in AWS/Azure to power reporting and analytics for a healthcare data collaboration platform using Python, SQL, dbt, and Airflow.
Builds self-healing automations and tunes an IT virtual assistant in Nexthink to reduce support tickets and improve digital employee experience using PowerShell, Python, and Microsoft Graph API.
Lead a team building and optimizing data pipelines in Teradata for a major bank, ensuring reliability and performance while mentoring engineers and collaborating with stakeholders.
Lead the design and deployment of advanced LLM-driven agentic AI systems for enterprise workflows, setting technical standards and mentoring teams to build robust, autonomous AI co-workers at scale.
Build and maintain data pipelines and customer datasets for REA’s property platform, consolidating legacy systems into a unified customer profile to enable AI-driven personalization.
Build and maintain data pipelines and datasets to consolidate customer data into a unified profile platform, enabling personalization and AI capabilities for a property technology company.
Build and maintain data pipelines and troubleshoot production issues for client projects using Python, SQL, and Spark.
Senior AI Engineer builds and scales an enterprise AI orchestration platform, integrating LLMs and RAG workflows with cloud-native services to enable secure, scalable AI solutions across a construction-tech organization.
Builds and deploys AI-driven agentic platforms for enterprise clients, focusing on LLM orchestration and multi-agent systems using Python and modern AI frameworks.
Design and implement AI evaluation, orchestration, and verification workflows for a high-assurance agentic AI platform used in regulated industries.
Build and deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
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