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Build and own the customer data infrastructure, event pipelines, and identity resolution systems for a startup, setting standards for data collection, governance, and privacy-compliant instrumentation.
Staff Backend Cost Engineer designs FinOps tooling to govern multi-cloud and AI-vendor spend, builds self-service dashboards, and turns cost spikes into auditable systems.
Build and scale AI systems to surface high-quality merchants and shopping experiences for Pinterest users, collaborating across teams to improve discovery and business reach.
Designs and optimizes Microsoft Fabric data lakes and an enterprise data warehouse, building scalable ETL/ELT pipelines and integrating data from Ellucian Banner ERP.
About Heitech Software Solutions** Heitech Software Solutions (HeitechSoft) is a rapidly scaling AI, web, and software development firm delivering cutting-edge technology solutions that streamline operations and…
Build and ship the AI backbone for a property-management assistant: RAG pipelines, multi-step agent workflows, and LLM integrations that power daily operations for 20,000+ HOA and condo communities.
Build and own a GCP-based Medallion lakehouse and ML data pipelines for training, inference, and monitoring at scale.
Lead a team of engineers to build and scale Python-based data systems across multi-cloud infrastructure, focusing on in-memory technologies and fault-tolerant architectures for ACV’s automotive marketplace.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Designs and maintains cloud-based ETL pipelines and SQL data marts using Azure Data Factory, Synapse, Databricks, and T-SQL to process large financial datasets.
Designs and optimizes Azure CI/CD pipelines, manages cloud databases, and builds data provisioning workflows using Microsoft Azure technologies.
Builds and leads the AI platform that extracts and interprets data from business documents, enabling AI agents and analytics for procurement, finance, and supply-chain teams.
Designs and deploys cloud-native AI applications, ensuring secure, scalable, and fault-tolerant systems while automating infrastructure tasks and improving reliability.
Build and deploy GenAI solutions like LLM-powered apps and RAG pipelines using Azure OpenAI and LangGraph for enterprise clients.
Design and deploy AI models to improve ride experiences and operational efficiency at Lyft, collaborating with data scientists and product teams.
Build and automate AI/ML-driven KPIs and insights for medical device R&D, turning healthcare data into scalable solutions that improve product quality and business decisions.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Build a secure, vendor-agnostic agent platform for AI workflows, including orchestration, safety controls, and evaluation frameworks to power Socure’s identity trust infrastructure.
Build AI-enhanced full-stack applications using Python and Ruby on Rails, integrating ML models and vector databases into scalable SaaS platforms.
Build AI-powered frontend components for a virtual agent platform that boosts knowledge-worker productivity using gRPC, REST, and Kubernetes.
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