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Python Developer - Sassuolo
Build and optimize AI-driven automation workflows using Python, JavaScript, and tools like n8n or Zapier to integrate AI models and APIs.
Python Developer - Sassuolo
Build and optimize AI-driven automation workflows using Python, JavaScript, and tools like n8n or Zapier, integrating models and APIs for enterprise clients.
PYTHON DEVELOPER
Builds and maintains Python-based AI services, integrating LLMs, vector databases, and REST APIs for enterprise clients.
Python Developer - Sassuolo
Build and optimize AI-driven automation workflows using Python, n8n, and OpenAI models. Integrate systems via APIs and databases like PostgreSQL.
AI DevOps Engineer
Build and run the production infrastructure for Ingersoll Rand’s GenAI program, automating CI/CD, observability, and reliability for LLM-powered apps on GCP and Snowflake.
AI DevOps Engineer
Build and operate the cloud and DevOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and observability for LLM-based applications.
AI DevOps Engineer
Build and operate the cloud and MLOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and AI observability.
Specjalista AI / Machine Learning Engineer
Build and tune LLM-based AI agents and RAG systems for ERP automation and SaaS knowledge bases, using Python, PyTorch, LangChain, and cloud pipelines.
AI/ML Director
Lead AI/ML teams to design, build, and deploy autonomous agent systems using LLMs and RAG for automating complex banking workflows, while setting governance and safety standards.
Senior Consultant – AI Engineer (Banking)
Senior AI Engineer consults for banks, designing and deploying production-ready AI agents and GenAI solutions using Python, LLMs, RAG, and cloud platforms.
Principal Software Engineer - Data and AI - Accelerator Business
Principal Software Engineer leading AI/ML initiatives to build and deploy GenAI applications, RAG pipelines, and agentic systems for J.P. Morgan’s Accelerator Business, using Java/Python, cloud platforms, and AI frameworks.
AI LLM Engineer - Autonomous Network - London
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Machine Learning Engineer - London
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
Senior/Principal AI/ML Solutions Architect
Design and build scalable AI/ML infrastructure for a global fintech leader, focusing on real-time fraud detection and liquidity optimization using AWS, Kubernetes, and PyTorch.
Manager, Data Platform - AI Engineering
Lead a team building and deploying enterprise data platforms, AI models, and generative AI solutions using Databricks, cloud-native tech, and AI tools like LangChain and Pinecone.
Backend Engineer (AI Agentic) 1904/1905
Build and maintain AI agentic backend systems using Python, LangChain/LangGraph, and vector databases to power autonomous workflows and RAG pipelines for business intelligence.
Senior Software Engineer
Build and scale internal AI-powered platforms and tools using JavaScript/TypeScript, cloud services, and GenAI features to empower decision-making across McKinsey.
Full Stack / Frontend Engineer – Generative AI Remoto Argentina, ID #00231
Builds and deploys LLM-powered features (agents, RAG, tools) with React/TypeScript frontends and Python or Go backends, integrating vector stores and agent frameworks.
Sr Full Stack Engineer - Hibrido CABA ID #00307
Senior Full Stack Engineer building AI-driven applications with LLMs, LangChain/LangGraph, React, and Python; designs scalable systems integrating models, APIs, and modern UX.
Data Engineer Ssr / Sr — Python, AWS, Terraform, Pinecone
Build and maintain cloud-native data pipelines and vector search infrastructure on AWS, Terraform, and Pinecone to power AI-driven products with multi-tenant architectures.