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AI engineer
Build AI-driven features for SYNCHRO, a 4D construction planning suite, using LangChain, LLMs, and full-stack TypeScript/React in a hybrid role.
Junior DevOps engineer
Junior DevOps engineer deploys and maintains AI platforms on customer sites using Kubernetes, Helm, Docker, Ansible, and CI/CD pipelines, troubleshooting incidents with Prometheus, Grafana, and Graylog.
Consolidation Manager
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like…
Director Applied AI for Marketing and Commerce
Lead applied AI projects for marketing and commerce, building production-grade models to measure campaign impact and generate brand content at scale.
Applied AI Engineer, Prototyping
Build and deploy full-stack AI systems for clients, from scoping to production, using modern GenAI stacks, Python, and FastAPI.
Ingeniero/a de Software Full Stack - Especialización IA Generativa
Build and deploy AI-powered full-stack apps using Python/Django, Angular, and Azure, focusing on generative AI models, prompt engineering, and LLM integration.
AI Engineer / Agentic AI Developer
Build and deploy enterprise-grade AI agents and workflows using LLMs, RAG, and multi-agent systems, running entirely on-premises with local models.
AI Solution Architect
Designs enterprise AI solutions, leads customer workshops, and architects scalable GenAI/LLM platforms on GCP, focusing on RAG, AI agents, and responsible AI practices.
AI Architect
Lead cross-functional teams to design, build, and scale AI-native products using LLMs, RAG, and agent systems with robust guardrails and observability.
Ingeniero/a de Software Full Stack - Especialización IA Generativa
Build and deploy AI-powered full-stack apps using Angular, Docker, and LLMs; optimize models and engineer prompts for real-world business use cases.
Senior Backend Developer (Torch Team)
Build and scale Python services and LLM-powered data pipelines for Semrush’s AI-driven brand visibility platform, integrating multi-provider LLMs and optimizing cost and quality.
Python Backend Developer
Builds and optimizes a Python pipeline that converts unstructured PDFs into perfectly formatted .docx files using OCR, Vision-Language Models, and document-generation libraries.
AI Solution Architect
Designs AI solutions for clients, creating blueprints, estimates, and delivery plans while partnering with cross-functional teams to align technical, commercial, and operational needs.
Data Scientist
Build and deploy generative AI solutions using LLMs, prompt engineering, RAG, and vector databases to automate customer service, document processing, and knowledge retrieval for enterprise clients.
Data Scientist
Build and deploy generative AI solutions using LLMs, RAG pipelines, and embeddings to automate documents, customer service, and knowledge retrieval in a hybrid London role.
Machine Learning Engineer
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with frameworks like LangChain and Semantic Kernel.
Senior AI Engineer
Build and deploy small/large language models to optimize telecom radio networks, including RAG pipelines, fine-tuning, hallucination mitigation, and AI agent workflows in a private-cloud environment.
Applied AI Engineer, CyberSecurity - Montreal
Build and deploy AI-driven cybersecurity agentic workflows for clients, turning prototypes into production-ready security solutions using red-team/blue-team models and orchestration.
AI Solutions Developer - (GenAI / OpenAI)
Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.
Cloud Solution Engineer – Data & AI
Design and deploy Microsoft’s cloud data & AI platforms (Fabric, Azure Databricks, SQL/Cosmos DB) for high-growth startups, running PoCs, hackathons, and architecture workshops to modernize their analytics stack.