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Builds scalable data pipelines and AI/ML models for anti-financial-crime systems, using Python, LLM frameworks, and GCP tools to enable intelligent automation and agent-based solutions.
Intensive 5-month academy training junior data engineers/consultants in Madrid, covering Snowflake, Databricks, dbt, and AI workflows, with potential post-program employment.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Build scalable AWS data pipelines and generative-AI apps using Bedrock and LLM models, collaborating with cloud architects and data engineers.
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for AI-driven fintech analytics and RAG systems.
Lead backend engineering for an AI-native HR platform, building agentic systems that automate hiring, onboarding, and employee operations using Python, LLMs, and conversational AI.
Build and integrate AI coding agents to automate software development tasks like code analysis, generation, and testing using LLMs and modern APIs.
Build and deploy AI-powered full-stack apps using Angular, Docker, and LLMs; optimize models and engineer prompts to solve real client problems.
Build and maintain production-grade AI agents that automate HR workflows using Python, LLMs, and full-stack tooling to ensure reliability, cost-efficiency, and scalability in enterprise environments.
Build and scale AI-driven products using LLMs, RAG pipelines, and vector databases with Rust or Golang, from prototype to production in rapid cycles.
Build full-stack B2B SaaS and AI products using Node.js, TypeScript, NestJS, React, Next.js, and PostgreSQL with end-to-end ownership of features.
Build and scale a Spanish-language math-tutoring platform that pairs human tutors with an AI assistant, focusing on full-stack TypeScript, LLM integrations, and privacy-by-design infrastructure.
Build an AI-powered employment platform as a full-stack engineer, coding Python/Django backends and React UIs while shaping product direction and mentoring teammates.
Build and integrate AI agents into software engineering workflows, automating code analysis, generation, and CI/CD integration to accelerate delivery and improve quality.
Build and maintain enterprise Java/Spring Boot apps with Angular frontends while embedding AI tools (GitHub Copilot, Cursor, etc.) into the SDLC to accelerate coding, testing, and debugging.
Build and maintain full-stack apps with Java/Spring Boot backend and Angular frontend, integrating AI tools to automate coding, testing, and deployment while using microservices, CI/CD, and cloud-native practices.
Build and operate AWS’s European Sovereign Cloud, automating and scaling EC2, S3, Lambda, and Bedrock for EU customers while leading on-call rotations and operational excellence.
Build and operate AWS’s European Sovereign Cloud, automating and scaling EC2, S3, Lambda and other services to ensure high availability for EU customers.
Build and maintain Python-based APIs and backend services for an AI company, using FastAPI/Django/Flask, async programming, and cloud tools like AWS/Azure.
Builds AI-powered systems using Python, FastAPI, and SQL, focusing on LLMs and generative AI research and development.
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