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Applied AI Engineer at Artefact, a data & AI consulting firm, in Shanghai (campus recruitment 2027). The role designs, builds, and ships machine learning and LLM-based agentic solutions inside client environments — from problem framing through production, handover, and post-launch improvement.
Manager Data Scientist at Artefact, a data consulting firm: leads end-to-end client machine learning projects, mentors junior data scientists, and writes optimised code for internal tooling. Core work spans ML pipelines and MLOps across practices like forecasting, NLP, computer vision, and optimisation using Python, R, or SQL.
Senior AI Engineer/Technical Consultant designs and delivers AI solutions for clients, leading from proof-of-concept to production using Python, LLMs, and cloud platforms like Azure/GCP/AWS.
Senior full-stack engineer building end-to-end AI applications, including React frontends, Python/Node backends, and agentic RAG pipelines. The role involves designing multi-step agents, implementing tool calling, and deploying production-grade systems on GCP, Azure, or AWS for international clients.
Senior AI engineer at Artefact, a data/AI consulting firm in São Paulo, who works embedded with clients to take AI products from idea to production — building full-stack agentic apps, RAG pipelines, and services on the Anthropic/Claude ecosystem (Claude API, Agent SDK, MCP) with Python, TypeScript/React, and cloud platforms.
Artefact, a data & AI consulting firm, is hiring a Senior Deployed AI Engineer in São Paulo to build production AI products for clients on Google's stack (Gemini, Vertex AI, Gemini Enterprise) — full-stack TypeScript/React and Python work, RAG pipelines, agentic systems, deployment, and evaluation, working directly and sometimes embedded with clients.
Senior engineer building end-to-end AI applications using the OpenAI ecosystem (GPT, Agents SDK, RAG). Works with clients to move AI from prototype to production using Python, TypeScript, and cloud infrastructure.