科技職缺
職缺列表
Conversational AI Engineer
Role Summary We are seeking a talented Conversational AI Engineer. This is a remote position. Responsibilities - Support the development and maintenance of AI-driven conversational systems. - Assist in implementing…
AI Engineer
AI Engineer - Drive Innovation & Impact Take ownership of meaningful projects while collaborating with a talented team of engineers. Perfect for developers ready to level up their career and make their mark in…
Senior Ai Engineer
Sr AI Engineer Must have: • Experience building conversational AI systems, chatbots, LLM application • AWS Bedrock/Azure Open AI, Agentcore or similar, MCP servers • LangChain/LangGraph/LlamaIndex • AI agent…
Consultant – AI, LLM/SLM & Scalable ML Systems
About the Role We are looking for an AI Consultant to guide the team for building and deploying scalable AI applications and platforms. The consultant will provide technical leadership, best practices, and deployment…
QA Automation Engineer
Job Overview ________________________________________ The QA Automation Engineer will be responsible for designing, developing, and executing automated test plans to ensure the reliability, performance, and accuracy of…
Machine Learning (ML) Engineer
Job Overview The ML Engineer will focus on integrating AI models into production environments, optimizing for scalability and performance, and managing CI/CD workflows. The role also involves working with Agentic…
Staff Software Engineer, AI Solutions & Platforms
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description About the Role At Thermo Fisher Scientific, you’ll do meaningful work that makes a positive global impact. Join our colleagues in…
Lead AI/ML Engineer, Applied AI
Hands-on technical lead architecting and deploying AI/ML, LLM, RAG, and agentic AI solutions for life sciences, genomics, materials science, and healthcare. Core stack: Python, PyTorch, LangChain/LangGraph, Azure OpenAI, plus mentorship of an engineering team.
Software Engineer II, AI Solutions & Platforms
Hands-on software engineer designing and shipping production-grade Generative AI and backend systems (RAG pipelines, agentic workflows, REST APIs) using Python, FastAPI, LangChain/LangGraph, and Azure/OpenAI/Anthropic LLM integrations at Thermo Fisher Scientific in Bangalore.
Senior Software Engineer - AI Solutions
Senior engineer at Contextual who designs and ships AI-powered workflows, agentic pipelines, and enterprise integrations on the Contextual.io low-code platform for real clients, using AI coding agents, LLM APIs, and scripting languages.
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…
AI Engineer
Build production-ready GenAI solutions and multi-agent AI workflows as an AI Engineer, developing Python backends, React frontends, RAG pipelines, and integrating with Azure services. Responsibilities span MLOps/LLMOps, observability, governance, and performance optimization.
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.
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.
Junior - GenAI & Hyper-automation Developer
Junior developer building generative AI and hyper-automation solutions using Python, developing agentic AI projects and analytics dashboards while ensuring data quality.
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.
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.
Старший аналитик-исследователь (Аналитический Хаб)
Senior Data Scientist/GenAI Developer building R&D prototypes and production tools on a multi-agent GenAI platform for sell-side investment research at Sber's Analytical Hub, combining LLM agents, RAG pipelines, time-series forecasting, and classical ML.