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The Data Scientist will develop AI and machine learning models, including Generative AI solutions, to support Singapore government agencies. The role involves full-stack development, data wrangling, and maintaining AI-powered applications using technologies like Python, AWS, and various LLM frameworks.
Designs and builds production-grade Generative AI solutions with a focus on agentic workflows, LLMs, and RAG architectures using Python and frameworks like LangChain. Combines software engineering fundamentals with expertise in AI agent frameworks and cloud AI platforms.
Design and build the AI layer for PebbleRoad's document intelligence and workflow products—selecting models, engineering prompts, evaluating output quality, and exposing capabilities via APIs—using AWS, LLMs, OCR, RAG, and vector databases.
Own and scale the AI-SDLC platform’s deployment, CI/CD, and observability to productionise AI workflows for multiple teams, ensuring enterprise-grade reliability, security, and cost control.
Build, deploy, and maintain AI/ML models and services, including Generative AI and RAG systems, using Python, PyTorch, and cloud-native tools.
The AI Engineer will design, build, and deploy enterprise-grade Generative AI applications, including RAG solutions and agentic workflows, to support digital transformation. The role involves hands-on development with LLMs, Python, and cloud AI platforms while ensuring system performance, safety, and governance.
The Senior GenAI Application Engineer will design and build production-grade GenAI applications using frameworks like LangGraph and LangChain. The role focuses on integrating LLMs and agentic workflows into enterprise systems while ensuring reliability, observability, and maintainability.
This role involves designing and developing production-ready AI applications and agentic systems using LLMs, RAG, and workflow orchestration. Engineers will build scalable backend services and optimize AI models for performance and reliability in enterprise environments.
The Principal Software Engineer will lead a team in developing CRM software solutions for the automotive industry, utilizing C#, React, and advanced AI/LLM technologies. The role involves managing the full product lifecycle, mentoring developers, and integrating AI agents and RAG workflows into production applications.
Senior Data Scientist building and scaling connected agentic AI systems (multi-agent LLM workflows, RAG pipelines) in Python and SQL at AB InBev's Bangalore office, partnering with business stakeholders to deliver production-ready ML solutions.
The Junior AI Engineer will build and maintain LLM-powered applications, including RAG pipelines and chatbots, while integrating AI features into existing logistics systems. The role involves fine-tuning open-weight models and developing front-end interfaces using React and Next.js.
Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
Build and deploy production-grade ML systems, including retrieval-driven AI agents and LLM-powered applications, using Python, PyTorch, and LangChain to power Kensho’s AI toolkits and generative AI products.
Hands-on AI & Automation Engineer designing, building and operating agentic AI solutions using Microsoft Foundry, Copilot Studio, Power Platform, Azure and orchestration frameworks like Semantic Kernel/LangChain within a large superannuation fund's London office.
Develops and optimizes large-scale AI/GenAI models, including LLM training, GPU infrastructure, and agentic AI systems for enterprise use.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
An early-career software engineer builds next-gen AI/agentic systems for Cisco’s Supply Chain team, focusing on automation, cloud integration, and secure data pipelines. Core work includes coding, debugging, and collaborating on AI agents, NLI/RAG systems, and database connectors (Oracle, Snowflake, MongoDB) in a hybrid Agile environment.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
Senior Software Developer building AI-powered platform features for SMBs using Google Cloud, TypeScript, GoLang, Python, and AI frameworks like Langchain and MCP, while providing technical leadership in a Scrum Agile environment.
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