AI 工程：7,487 個職缺
瀏覽與 AI 工程 相關的開放職缺。
GenAI- Senior Software Engineer
Builds GenAI and RAG-based solutions, reusable AI engineering frameworks, agents and copilots, autonomous workflows, semantic search, embeddings, and API/database integrations. Packages, deploys, and monitors cloud AI applications using AI-assisted development tools.
Technical Architect -AWS Agentic AI Engineer
Technical Architect role at consultancy Perficient advising engineering teams on AWS-based Agentic AI architectures, designing technical solutions, defining technology strategies/roadmaps, and mentoring teams across the development lifecycle.
AI Infrastructure Engineer - Recommendation & LLM
Designs and optimizes AI training and inference infrastructure for recommendation systems and LLMs at TikTok, focusing on distributed systems, GPU utilization, and production rollout.
Старший LLM-разработчик в сервис Нейроюрист
Senior LLM developer at Yandex working on the B2B GPT product 'NeuroLawyer', focused on improving LLM and RAG pipelines (embedder/reranker tuning, prompt engineering), designing and deploying LLM agents for legal scenarios, and fine-tuning and scaling production ML systems with Python.
AI Software Engineer
Middle AI Engineer building production LLM-powered applications, RAG pipelines, and AI agents using Python, FastAPI/Django/Flask, LangChain/LangGraph/LlamaIndex, and OpenAI/Anthropic/Gemini/Llama models on AWS/Azure/GCP.
AI Engineer bei SCOUTASTIC (all genders)
An AI Engineer building experiments, prototypes, and production AI features by integrating LLMs, embeddings, and AI models through data pipelines, owning end-to-end delivery from experiment to production.
Software Engineer, Search Platforms, GenAI Content
Software Engineer role focused on building AI-generated content features and signals for Google's Search Platforms, including applied research on GenAI techniques, multimodality content understanding, and agentic AI evaluation.
Software Engineer III, Generative AI, Core
Software Engineer III role on Google's Generative AI Core team, building product and system code for generative AI. Day-to-day work includes writing and reviewing code, debugging production issues, participating in design reviews, and maintaining documentation.
Staff Software Engineer, GenAI Gaming
Staff Software Engineer role at Google building foundational GenAI models for game development, connecting AI to real-time render loops, evaluating game balance with reward models, and generating rigged 3D meshes — core tech spans generative AI, ML, and 3D graphics.
AI Engineer bei der JUST ADD AI (all genders)
AI Engineer at Just Add AI building end-to-end custom AI solutions, including LLM-based coding assistants, analyzing large datasets, and deploying state-of-the-art models for real-world problems across Bremen/Hamburg (hybrid).
AI Engineer bei HUB.KI (all genders)
Build and develop an AI agent platform, including RAG systems and agentic AI architectures. Core work involves orchestrating large language models, implementing tool calling integrations, and owning the full end-to-end development cycle including testing and documentation.
AI Engineer bei SCOUTASTIC (all genders)
AI Engineer building data pipelines and embedding-based search/recommendations for SCOUTASTIC, designing AI features, integrating LLMs, and developing agentic workflows from prototype through production.
AI Engineer (AWS Bedrock is a must)
Remote AI Engineer role building production-grade GenAI systems on AWS for startup clients, focused on RAG pipelines, multi-agent workflows, and LLM-powered backend services. Core stack: AWS Bedrock, OpenSearch, Lambda, SageMaker, Python, LangChain/LlamaIndex.
AI Product Engineer
Design, build, and ship production AI systems end-to-end — architecting RAG pipelines, agentic workflows, and LLM integrations using Python/TypeScript, FastAPI/Node.js, and modern AI coding tools like Cursor or Claude Code.
AI Engineer
AI Engineer designing, training, deploying and integrating deep-learning models (CV, NLP, speech recognition, generative tasks) with TensorFlow/PyTorch, optimizing inference on GPU/TPU and supporting MLOps pipelines on Docker/Kubernetes.
Senior NLP/LLM Engineer
Senior NLP/LLM Engineer at Sberbank building an AI-copilot for premium client managers: design end-to-end LLM pipelines, advanced RAG systems and autonomous multi-agent workflows, with fine-tuning (SFT/RLHF/DPO/LoRA), eval systems (RAGAS, DeepEval, LLM-as-a-Judge), and production-grade Python/FastAPI integration.
LLM 트레이닝 엔지니어(데이터 사이언티스트)
Train and evaluate LLMs on large-scale financial disclosure data at a small Seoul AI startup — applying SFT, RLHF, RAG, and continual learning, building evaluation pipelines, and translating the latest LLM research into production experiments for finance/legal/medical domains.
AI Engineer (신약개발)
AI Engineer at 3Billion developing deep-learning models across the full drug-discovery pipeline — target identification, compound generation, protein–ligand binding prediction, and activity/toxicity prediction — using tools like AlphaFold, ESM, DiffDock, and Boltz in a Seoul-based, interdisciplinary biotech team.