科技職缺
職缺列表
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.
Lead Data Engineer, Technology Consulting- London, Leeds, Manchester or Newcastle
Agency: Credera Job Function: Consulting Job Subfunction: Technology Consulting Job Description: Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative…
Senior AI Engineer
Senior AI Engineer designing and deploying enterprise-scale Generative AI and Machine Learning solutions on AWS, including LLM-powered applications, RAG architectures, and AI Agents, with a focus on MLOps/LLMOps practices and cloud-native services.
AI Engineer Intern
AI Engineer Intern designing, prototyping, and deploying AI features for proprietary AI-driven products. Day-to-day work spans Python development, LLM/embedding/fine-tuning experimentation, NLP, data analysis, and predictive modeling within a cross-functional team.
Software engineer
Designs and ships complex software systems plus GenAI applications (LLMs, RAG, vector databases, LangChain/LlamaIndex) on BP's technology team, using Python/Java/C++/C# on cloud platforms with end-to-end CI/CD pipelines.
Platform Engineer III
Platform Engineer III at CME Group building and maintaining AI platform capabilities on GKE/GCP, enabling product teams to deploy generative AI applications with self-hosted LLMs, observability, and cloud-native tooling.
AI Engineer
AI Engineer at Barclays building GenAI-powered full-stack applications with LLMs, RAG, vector stores and agentic workflows, plus cloud-native delivery on Docker/Kubernetes. Day-to-day involves Python or Java backends, React/Angular front-ends, MLOps/LLMOps, and secure enterprise integration within a financial services environment.
Associate Director, Data Analytics
Hands-on analytics leader designing advanced marketing measurement and reporting solutions using SQL, Python, GCP/BigQuery, and BI tools. Drives MMM, attribution, predictive modeling, and AI-enabled automation to optimize client marketing performance.
Software Engineer II - AIML
Build and deploy Generative AI and ML solutions for enterprise pharma applications at Bristol Myers Squibb in Hyderabad, leveraging LLMs, agentic AI frameworks, and Python-based ML pipelines.
Lead data Science Engineer
Lead Data Science Engineer on Sabre Labs Research team in Bengaluru, architecting and deploying AI/ML and optimization systems for airline retailing, network planning, agency automation, and departure control using Python, C++, LLMs, GCP, and MLOps.
Quantexa Systems Analyst
Techno-functional Systems Analyst role focused on Quantexa and GenAI/Agentic AI solutions for a banking client (UOB) in Singapore. Involves gathering requirements, designing solutions, and integrating LLMs (LLaMA, DeepSeek, OpenAI, Gemini) using Python, LangChain, RAG, and MCP.
Software Engineer I (C#.Net, Rest API)_2-4 Yrs_Bangalore/Pune
Backend C# engineer on the Payrix team building a next-generation embedded payments platform for software vendors. Designs scalable microservices in .NET with PostgreSQL, Redis, Kafka, Kubernetes on AWS, plus CI/CD and observability tooling.
Senior Backend Engineer
Senior backend engineer for Onepage's AI-native website builder, designing and scaling Node.js/TypeScript/Nest.js microservices with MongoDB/PostgreSQL, Kubernetes, and AI integrations on a platform serving over a million pages.
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.