科技職缺
職缺列表
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.
Middle AI/ML Engineer (#5128)
Middle AI/ML Engineer building AI-driven solutions within the Palantir Foundry and AIP ecosystem. Day-to-day work centers on developing ML and LLM-based solutions using Python, integrating them into Foundry workflows to support analytics, automation, and decision-making for enterprise use cases.
Applied AI Engineer (Squad Lead)
Lead a squad building production-grade GenAI agents and applications end-to-end for a hyper-scale fintech trading platform. Day-to-day work spans LLM orchestration (RAG, multi-agent, tool-calling), cloud-native AI pipelines, vector databases, and full-stack development with AI-native tools like Cursor.
AI/ML-инженер
AI/ML engineer at an insurance company building LLM-powered services: developing RAG pipelines (embeddings, retrieval, reranking), agentic LLM workflows with function calling and structured output, containerizing services, and integrating models via REST APIs. Core stack: Python, Hugging Face, Docker, SQL.
MLOps/Ai Engineer
MLOps/AI Engineer at HamkorBank in Tashkent building and maintaining AI/ML infrastructure — automating CI/CD pipelines, managing Kubernetes-based GPU clusters, deploying and serving LLM/RAG services, and running observability and on-call for production ML systems.
AI Engineer - Machine Learning
Senior ML Engineer enhancing a client's Databricks data platform with AI capabilities, owning the full ML lifecycle from data through deployment and monitoring. Core stack: Azure AI, Databricks, Python, PySpark, plus modern LLM patterns (RAG, embeddings, agent design).
Lead AI/ML Engineer
Lead AI/ML Engineer designing and developing production AI services for retail compliance automation on the RETAILIQA platform. Day-to-day work spans LLM, RAG, and agentic AI solutions plus multimodal and computer-vision models, using Python, FastAPI, LangGraph, vLLM, LlamaIndex, Docker, and related MLOps tooling.
Senior/Lead AI Engineer
Lead AI engineering for an internal AI assistant used by thousands of Sberbank employees — prototype LLM agents and skills, define the agent stack, and build the quality evaluation system (evals, LLM-as-judge) using Python, LangChain, and LangGraph.
Forward Deployed Engineer
Forward Deployed Engineer Richardson TX - Hybrid Work from office Contract About the Role We are hiring a Forward Deployed Engineer (FDE), an elite, hands-on engineer who embeds with our business partners and turns…
Lead Agentic Software Engineer II
Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can…
Senior Python Full Stack Developer with AI
Senior full-stack engineer building scalable web applications in Python with AI-powered features (LLMs, RAG, NLP, generative AI). Day-to-day work spans backend APIs/services, React/TypeScript frontend, integrating ML models into production, and collaborating with clients and cross-functional teams.
Lead AI Engineer
Lead AI Engineer at RBC designing and implementing enterprise AI-driven solutions across the SDLC, including LLM integration, MCP servers, RAG systems, and agentic AI workflows using .NET/C#, Java, Python, and Azure.