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Lead the architecture of scalable backend systems powering Cresta’s AI platform, enabling real-time AI agents and enterprise integrations for customer experience.
Lead a team to design and scale an AWS-based data platform, building pipelines, standards, and governance for analytics and future AI use cases.
Designs and builds scalable Azure-based data pipelines and Power BI dashboards to deliver enterprise analytics and self-service BI for business stakeholders.
Build and maintain data pipelines, storage, and quality systems for a space-tech startup, integrating enterprise systems like ERP and CRM with cloud data platforms.
Own the strategy and roadmap for n8n’s Core Platform, scaling its execution engine, reliability, and security to support AI and automation features for developers and enterprises.
Build and evolve the integrations platform’s edge agent, SDKs, and developer tooling that run on customer machines to automate workflows across OS environments and orchestrate distributed systems.
Senior backend engineer leading cloud-native, geospatial systems for government clients, modernizing legacy stacks with Python/Java, AWS serverless, and DevSecOps pipelines.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
An AI Business Automation Engineer at Box designs and builds AI-driven workflows to transform internal business processes (e.g., finance, legal, HR) by embedding with subject-matter experts, prototyping in Python with LLM APIs/agent frameworks, and deploying production-grade solutions across Box’s SaaS stack (Box, Workday, Salesforce, etc.).
Builds and maintains Python-based data pipelines and DBT workflows for a U.S. investment bank, focusing on async processing, Snowflake/PostgreSQL, and Kubernetes orchestration.
Builds and maintains banking software solutions using Java/Spring, microservices, and cloud platforms to improve digital banking services and customer trust.
Build and maintain cloud-based data pipelines and infrastructure for autonomous-vehicle development, using Python, Flyte, AWS, Kafka, and BigQuery to process petabytes of fleet data for ML and simulation.
Build and maintain high-performance web scraping systems and data pipelines for AI-powered brand protection, using Python, PostgreSQL, and cloud services.
Lead AI platform engineer designing and deploying enterprise Agentic AI solutions for Fortune 500 customers using LLMs, RAG pipelines, and Java/Python services.
Senior backend engineer building data pipelines and services for investigative journalism at the Financial Times, using Python, AWS, and Apache Airflow to process complex datasets for newsroom tools.
Czym będziesz się zajmować? Project and responsibilities: Long-term IT Services project in Wrocław or Gdańsk, on-site five days weekly; service window 08:00–20:00 Poland time. Design, develop and operate secure,…
Builds and extends an agentic AI platform with LLM workflows, orchestration, and backend services using Python, FastAPI, and LangGraph.
Senior Python engineer builds and maintains data pipelines, warehousing, and AI-powered features for US fintech clients while mentoring junior engineers and automating deployments.
Salary: AUD 120000 - 140000 per annum INDEX is partnering with a mid-market MSP specialising in cyber security to support the growth of its managed technology and automation capability. The environment brings together…
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