科技職缺
職缺列表
AI/Machine Learning Engineer
Designs and implements LLM-based agentic workflows, integrates AI systems with APIs and enterprise data stores, and ensures production reliability and security/governance compliance for mission platforms.
Architect – Agentic AI Engineering
Architect for agentic AI systems: designs Python backend services, builds multi-step AI agent workflows with LLMs, deploys on AWS/Azure, and refines AI prototypes into scalable production systems with prompt engineering, observability, and documented APIs.
Senior AI Engineer
Senior AI Engineer at Adaptiq building agentic AI capabilities for a maritime intelligence platform that fuses geospatial data into a digital twin for commercial and government use. Day-to-day work spans LLM/RAG system design, autonomous agent development, Python backend services, and production AI deployment on AWS/Kubernetes.
Data Scientist NLP/LLM
Builds end-to-end production AI agents using GigaChat, open-source generative models, Python/PyTorch, and LLM tooling. The role develops offline and online evaluation metrics, tracks language-model research, and works with neural-network architectures, MLOps, and advanced ML/statistics.
🇺🇸 AI/ML Engineer
Remote AI/ML Engineer building data pipelines, ETL, and metadata/ontology catalogs; designs and deploys AI/ML models and multi-agent systems, creates REST APIs and SDK integrations, and ships solutions in secure cloud environments following DevOps best practices.
AI Solutions Engineer
Hands-on AI Solutions Engineer who tracks the AI market, prototypes and ships production LLM solutions (RAG, AI agents, multimodal AI, MCP), and integrates them into business workflows via Python, Docker, and APIs.
AI/ML Engineer
Design and deploy production AI/ML systems using LLMs, RAG, and multi-agent orchestration (LangGraph, LangChain) on secure government cloud platforms like AWS GovCloud, Azure IL5+, and Vertex AI, while contributing to micro1's proprietary AI infrastructure for frontier model training.
Senior NLP/LLM Engineer
Senior NLP/LLM Engineer at Sber's B2C AI team building an AI-copilot for premium client managers. Designs end-to-end LLM pipelines, RAG systems, multi-agent orchestration, and evaluation frameworks using Python, PyTorch, LangChain, and FastAPI.
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.
AI Architect
Design and architect TTEC's AI platform and agent infrastructure, including MCP server integrations, governance standards, and human-in-the-loop workflows.
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.
ML-инженер / ML Engineer (с пониманием бэкенда)
ML Engineer at ВкусВилл building internal AI services (RAG knowledge search, smart assistants, meeting transcriber/summarizer) end-to-end. Stack: Python, PyTorch/Transformers, LLM APIs, LangChain/LangGraph, FastAPI REST/gRPC, SQL and vector DBs (Qdrant, pgvector), Docker/CI-CD.
Tech Lead по Vibe-coding (AI-инженер / ML-архитектор)
Tech lead architecting RAG systems and agentic AI workflows using Python, LangGraph, and CrewAI. Designs LLM integration pipelines with vector databases, builds evaluation frameworks, and trains the team on prompt engineering and AI-driven development.
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.
DE&A - AIML - Deep Learning - Generative AI
Designs and ships generative AI and LLM solutions, builds containerized production AI delivery systems, and runs distributed GPU training with agentic ML frameworks and knowledge-graph architectures.