科技職缺
職缺列表
AI Engineer
Build and maintain a multi-agent AI system automating performance media trading decisions for a charity-focused agency; own agents end-to-end across prompt design, MCP tool wiring, ETL pipelines, evaluation frameworks, and Slack-based human-in-the-loop workflows on Python, SQL, and cloud infrastructure.
AI / ML Engineer
AI/ML Engineer at healthcare company Solventum, designing and deploying machine learning and generative AI solutions (LLMs, RAG, agentic systems) end-to-end using Python, PyTorch, TensorFlow, scikit-learn, AWS Bedrock, and Azure AI Foundry.
Software Engineer (Contract)
6-month contract for an early-career full-stack engineer at Civis Analytics, building React front-ends and Python/Ruby/Node back-ends with SQL, collaborating with engineers, data scientists, designers, and PMs on client missions while integrating AI/ML tools.
AWS AI Solutions Architect / AI Engineering Advisor
AI Solutions Architect at an AWS consultancy designing and implementing AI/Generative AI solutions on AWS. Combines strategic customer-facing consulting with hands-on architecture across Bedrock, SageMaker, RAG, and LLM-based systems.
AI Systems Architect (LLM/RAG)
MK-Consulting розробляє державні реєстри, портали, інформаційні та workflow-системи, будує інтеграції між сервісами й автоматизує складні процеси роботи з даними — від discovery та проєктування до запуску й підтримки в…
Senior Azure Platform / AI Engineer
Senior engineer designing and maintaining Azure infrastructure (AKS, Entra ID, VNets) and deploying AI/ML workloads (Azure OpenAI, AI Foundry, RAG, multi-agent systems) via Terraform, GitHub Actions, Python/FastAPI, and React/TypeScript for an enterprise client.
Strong Junior AI Engineer
Netpeak шукає Junior AI Automation Developer / AI Engineer у напрям AI Solutions💙 Ми — marketing partner для реалізації найамбітніших планів бізнесу по всьому світу. З Netpeak можна більше. Агенція надає повний спектр…
Lead NLP / ML Researcher (LLM Evaluation & Agentic Systems)
Lead NLP/ML researcher role at Irisai working remotely on LLM evaluation and agentic systems. The person leads research on model interpretability, RAG evaluation, benchmarking, and uncertainty methods, publishes papers, co-authors grants, and translates research into production prototypes.
AI/ML Engineer в направление «Интеллектуальные решения»
Design and ship production AI systems at a major telecom: build RAG pipelines, optimize LLM inference on a proprietary GPU cluster, design agentic workflows, and measure quality with golden datasets and A/B testing.
QA Engineer (LLM-платформа)
QA Engineer at Sber's IT division testing AI products on an internal LLM platform, combining functional/regression testing of LLM features with prompt robustness, evaluation-dataset work, and Python/pytest automation.
Applied AI Engineer
Build and ship AI agents and production-grade LLM systems at Windward in Tel Aviv, embedding with internal users to design intelligent workflows, integrate with data and APIs, and own architecture, evals, guardrails, and deployment end to end.
Java Developer (AI / GenAI)
Backend Java developer building a generative AI platform with RAG pipelines, vector databases (Qdrant), and multi-agent systems on LangChain/LangGraph. Core stack: Java 17+, Spring Boot, PostgreSQL, Docker/Kubernetes, with deep LLM prompt-engineering work.
Python AI Engineer
Build AI-powered products end-to-end with Python, designing LLM workflows, AI agents, and multimodal solutions, plus analytics platforms that fuse geospatial, IoT, and image data into production dashboards and automation tools.
Senior Artificial Intelligence/Machine Learning Engineer
Builds LLM-powered agents and workflows with production guardrails, instruments cost and quality telemetry, integrates with data sources, and writes and runs LLM evaluations in a senior AI/ML engineering role.
Разработчик на Go в команду разработки LLM-проектов для B2B
Senior Go backend developer on Yandex's B2B AI team, building LLM-powered services (NeuroSupport customer support automation, NeuroExpert document search, NeuroJurist legal Q&A). Core stack: Go, Python, PostgreSQL, YDB with RAG/vector search, plus OCR/ASR/VLM models.
GenAI Engineer
Build RAG pipelines and agentic/multi-agent AI systems while developing Python applications for generative AI. Work spans embeddings, indexing, chunking, reranking, GPU optimization, and integrating AI features into broader systems.
ML Engineer
ML Engineer designing and shipping AI agents and multi-agent architectures on Python/LLM frameworks (LangChain, LangGraph) for a major Russian bank's marketing tech project. Day-to-day: build async backend services, integrate via REST, Kafka and Model Context Protocol, and implement RAG with vector databases.