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AI Developer - LLM Features & AI Systems
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.
AI/ML Lead (Senior Machine Learning Engineer – Full-time Leadership Role)
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.
AI Automation Engineer
Design and build AI agents and LLM integrations to automate workflows across ERP, CRM, and logistics systems using Python, LangChain, and vector databases.
Senior Software Engineer, AI
Build and optimize LLM-powered backend systems for scalable AI-driven search and agentic workflows, focusing on retrieval pipelines, orchestration, and evaluation.
Senior Software Engineer, AI Products
Build and ship AI-driven features and LLM-based automation tools using Python, vector DBs, and RAG pipelines on AWS/GCP.
Python Developer - Sassuolo
Build and optimize AI-driven automation workflows using Python, n8n, and OpenAI models, integrating systems with PostgreSQL and APIs.
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 - 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 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.
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.
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.
Desarrollador Full Stack Senior — Liderazgo Técnico
Lead full-stack development using Node.js and React, design scalable systems with PostgreSQL/MySQL, and leverage MongoDB/Weaviate for data needs.
Desarrollador Full Stack
Build and optimize high-performance backends in Node.js, integrate APIs and distributed systems, and occasionally contribute to React frontends using PostgreSQL, MySQL, MongoDB, and Weaviate.