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AI Engineer (Up to 12k)
Build and improve AI-powered intent tools using LLM frameworks, vector databases, and microservices to automate knowledge base creation and quality control for chatbots.
Backend (AI Prompt Engineering)
Builds and optimizes real-time AI teaching backends and prompt systems to improve conversational stability, safety, and educational outcomes using Java/Spring and LLM orchestration.
Remote AI Engineer — Build Production Feature-Driven AI
Build and deploy production AI features using Python, FastAPI, LangChain, and vector databases, integrating with LLMs for scalable agent systems.
AI/ML Engineer Speech, RAG & Fine-Tuning
Build and deploy speech-to-speech pipelines, fine-tune LLMs (LLaMA 2/3), and implement RAG systems using open-source tools like Whisper, Coqui, and Hugging Face.
Hands-on AI/ML Engineer: Build Multi-Agent Pipelines
Build and deploy multi-agent AI pipelines using LangGraph/LangChain, integrating AWS services and OCR tools to turn designs into working agentic workflows.
Senior Full Stack AI Engineer
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Senior AI Engineer
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
AI/ML Engineer
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Senior AI Software Engineer – Agentic Frameworks & LLMs
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Agentic AI Engineer
Build and deploy multi-step AI agent workflows using LangChain, LlamaIndex, and platforms like Azure AI Studio Agents or AWS Bedrock Agents, integrating APIs and databases for automation.
AI & ML Engineer
Build and deploy AI-powered features like chatbots and RAG systems using LLMs and vector databases, integrating them into client projects and internal tools.
Lead Backend & Data Engineer – AI Platform
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Backend Engineer (Python/FastAPI + AI Automation)
Builds Python/FastAPI backends and AI-driven automation pipelines, integrating LLMs and orchestration tools while developing ERP modules and data pipelines.
AI & Data Engineer: Autonomous Agents & RAG Architect
Design and build autonomous AI agents and multi-agent systems that automate business processes using RAG architectures with vector databases and external APIs.
Tech Lead: AI-Driven Full-Stack & Agent Architect
Lead AI-driven full-stack projects, integrating generative AI agents and platforms using Python, TypeScript, LangChain, and Docker in a hybrid Madrid-based role.
Senior AI Engineer - LLM - Pharma Industry
Build and scale LLM-powered AI solutions for pharma, integrating RAG, knowledge graphs, and cloud-native services to deliver enterprise decision support.
Ingeniero Full Stack con IA Generativa y LLMs
Builds full-stack apps with Python/Django and Angular, integrates LLMs/SLMs via LangChain, and deploys containerized services in hybrid environments.
Full-Stack Software Engineer (Agentic AI)
Build a full-stack Agentic AI platform for Life Sciences, integrating autonomous agents, retrieval pipelines, and React frontends with Python/FastAPI backends.
Backend Developer (LangChain / LangGraph) – Remote
Build AI agents and optimize backend systems using LangChain/LangGraph for an international IT consultancy.
Senior AI Engineer
Build and deploy scalable AI-powered applications using Python, cloud infrastructure, and modern AI frameworks like LangChain and LlamaIndex.