科技職缺
職缺列表
Senior Agentic AI Engineer
Senior Agentic AI Engineer at Perceptive owning the design, build, and productionization of agentic AI workflows for medical imaging clinical trials. Core stack spans LLM-based systems, RAG, prompt engineering, evaluation frameworks, MLOps/CI-CD, and scalable backend/orchestration services.
Software Engineer, AI Agent Platform
Core platform engineer building and shipping ChampionAI, QAD's agentic AI platform for manufacturing. Day-to-day work involves Python/FastAPI/MCP-based agent infrastructure, enabling Applied AI teams across business units, and directly building production Champion agents.
Customer Support Engineer, Tier 1 (MacOS and MDM) - India
All roles at JumpCloud® are Remote unless otherwise specified in the Job Description. About JumpCloud® JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By…
AI Transformation Manager - Internal Control
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At…
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 Machine Learning Engineer (LLMs)
Senior ML engineer focused on designing and deploying production LLM and generative-AI pipelines — optimizing inference, building RAG and agent systems, and applying MLOps — using Python, PyTorch, AWS/GCP/Azure, and vector databases.
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.
Middle Data Analyst
Experienced Data Analyst owning end-to-end analytical workflows in the iGaming industry, building advanced SQL pipelines in Amazon Redshift, running player-behaviour analyses (RFM, cohorts, LTV, churn), evaluating A/B tests, and translating findings into Excel reports and BI dashboards for non-technical stakeholders.
Solution Engineer
Designs and operates production-grade data pipelines and data products on AWS and Snowflake for a global investment management firm, owning architecture through deployment while using AI-assisted engineering as a daily practice.
Data Scientist (LLM, LangChain, RAG)
A Data Scientist building generative-AI solutions that combine LLMs, LangChain, and RAG to address business problems. Day-to-day work involves developing AI agents, implementing LLM and diffusion models, and creating forecasting, recommendation, and classification models using Python, SQL, and Pandas.