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Build production-ready GenAI and agentic AI systems for global enterprises using Python, LLM APIs, and cloud platforms like AWS/Azure/GCP.
Build enterprise-grade GenAI applications and autonomous multi-agent systems using Python, LLM APIs, and vector databases, then deploy them to cloud platforms for Fortune 500 clients.
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.
Builds GenAI data pipelines, agents, and microservices to feed and sync with large-language models, using Python, FastAPI, and cloud tools like GCP and Azure.
Senior Data Engineer builds and maintains Snowflake-based ETL/ELT pipelines, data models, and REST APIs to consolidate finance data for forecasting and reporting in a regulated biotech environment.
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.
Builds full-stack apps with Python (FastAPI) and React, deploys to cloud, and integrates ML/NLP models into production pipelines.
Build and maintain Python backend services that process data from 300,000+ IoT devices, and contribute to React/TypeScript frontend features for retail store tools powered by computer vision.
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Build AI-powered legal workflow tools using Python and FastAPI, handling both backend services and frontend integration in a high-autonomy team.
Builds full-stack AI-powered ADAS applications using Python (FastAPI) and React, writing specs that guide AI coding agents while designing scalable microservices and databases.
Builds cloud-native apps using Angular for the frontend and Python FastAPI for the backend on AWS.
Builds and maintains Python-based backend services and APIs using FastAPI/Django, deploys them via Docker/Kubernetes, and automates pipelines with CI/CD tools like Jenkins.
Build and scale a decarbonization platform using Node, React, Python, and MongoDB to deliver AI-driven carbon-reduction tools for building portfolios.
Build and maintain scalable full-stack apps with Python/FastAPI backend and React/TypeScript frontend, deploying on AWS and Kubernetes while integrating data pipelines and AI features.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Build and optimize scalable data pipelines, warehouses, and AI/ML integrations in Python and GCP for network investment analytics in a hybrid role.
Designs and maintains Python-based data pipelines and APIs for pricing and vehicle data using Airflow, FastAPI/Flask, and SQL databases in a hybrid Warsaw role.
Build and secure AWS-based infrastructure for a new fintech platform that automates systematic trading research and execution, using Terraform and scripting.
Senior full-stack engineer building and maintaining enterprise risk & governance SaaS platforms using Python/Node.js, React, AWS, and Kubernetes.
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