科技職缺
職缺列表
Lead AI/ML Engineer
Lead AI/ML Engineer defining multi-year technical strategy and architecting mission-critical AI/ML systems for millions of users while mentoring teams and partnering with C-level leadership. Core stack spans Python, PyTorch, TensorFlow, LLMs/GenAI, RAG, and NLP on AWS/GCP/Azure with Kubernetes, Docker, and MLOps/DevOps.
Ai Architect
Hands-on AI Architect designing and deploying production-grade Generative AI systems on AWS, including RAG pipelines, chatbots, and AI assistants using LLMs (GPT, Claude, Mixtral), vector databases, and AWS services. Onsite 3 days/week in Raleigh.
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.
Full Stack Software Engineer
Full Stack Software Engineer building production AI-powered applications across a Python, JavaScript/TypeScript, Next.js, and Golang stack, designing agentic AI workflows, LLM-powered systems, and scalable backend services deployed with Docker and Kubernetes.
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
Entity: Technology Job Family Group: IT&S Group Job Description: Software Engineer - (Individual Contributor, Grade I) Responsibilities Part of a cross-disciplinary team, working closely with other software…
Generative AI and Machine Learning Developer
Intermediate analyst on Citi's TTS Analytics team building and shipping production-grade Generative AI and deep learning solutions—including LLMs, RAG, prompt engineering, and fine-tuning—to solve client-experience and revenue problems using big-data tools in financial services.
Generative AI and Machine Learning Developer
Design, build, and ship production-grade Generative AI and deep learning applications for Citi's TTS Analytics team, owning end-to-end delivery of LLM-powered products with RAG, fine-tuning, evaluation guardrails, and MLOps pipelines using Python, PyTorch/TensorFlow, and the Hugging Face ecosystem.
Customer Tech Care Lead Customer Care Department - Remote
StellarTech is building a Customer Tech Care unit - a specialised engineering squad embedded within Customer Care, whose sole purpose is to technically resolve every user issue that cannot be solved by a standard…
Sr. Applied AI Engineer - Wellness
Builds and deploys ML pipelines, AI agents, and retrieval pipelines for a wellness-focused AI company. Designs production databases and caching layers, integrates with CRM systems, and collaborates with product and engineering teams.
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.
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.
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 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).