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The Core Infrastructure Compute team is responsible for managing and maintaining enterprise compute inventory, integrating and consolidating data from multiple sources, and ensuring data accuracy, consistency, and…
Job Description Summary As a Principal AI Software Engineer, you will define the technical architecture and drive the strategy for enterprise-grade AI solutions across our organization. You will lead the integration of…
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce…
What you will do We are hiring a Senior Data Scientist to play a key role in building our Agentic AI Platform — a system of autonomous, tool-using AI agents that plan, reason, and execute complex business workflows…
Top 3 Reasons To Join Us Attractive salary, benefits, hybrid working Technical training sessions (internal – external) PVI Healthcare insurance The Job Join in developing and applying the ML/DL techniques to resolve…
Role Scope Owns data architecture across multiple domains, with dual focus: (1) modernizing legacy database systems—particularly large-scale SQL Server environments with complex stored procedures containing embedded…
Full-time term-time internship (Jan–Jun 2027) with CPF Board's Data Science Accelerator team in Singapore: build and maintain the data analytics platform on Azure (ETL pipelines, batch/stream processing, IaC) and develop AI agents using LangChain, LlamaIndex or AutoGen with vector databases and RAG.
Senior Data Engineer on NCS's AI Central Forward Deployed Engineering team, building AI-ready data pipelines (ingestion, cleaning, batch/streaming) and RAG/vector search infrastructure for client engagements, especially in regulated sectors like healthcare and government. Core stack: Python, SQL, Airflow/Spark/Kafka, and vector databases such as pgvector and Pinecone.
Full stack developer at NCS (Singtel Group) in Singapore, building end-to-end web applications — UIs, APIs/microservices, and data layers — with stacks like Java/Spring Boot, .NET, Python, or Node.js, while using AI coding assistants daily and integrating LLM/GenAI features (RAG, chatbots, agents) into client solutions.
Senior engineer in Toronto (hybrid, 4 days in office, in-person interview) building generative AI products and enterprise solutions: LLM pipelines, agentic workflows, MCP and Graph/RAG architectures on AWS. Full-stack work spans Python, LangChain/LlamaIndex, Bedrock, vector/graph databases, and Next.js/React/TypeScript. Requires 10+ years' experience.
Software architect and hands-on developer at LexCom's Munich HQ, shaping BigData solutions: designing scalable AWS data-lake architectures, building data and AI platforms (React, Java, Spring Boot, pgvector), contributing to LLM/agent-based AI, and owning roadmap, standards and governance.
Builds end-to-end full-stack Generative AI applications for asset management use cases in AllianzGI's central AI Center of Enablement team — from prototyping through production. Core stack: Python (FastAPI, LangChain), LLMs/RAG/agentic AI, plus React/TypeScript/Node.js and Azure tooling.
Architects and builds scalable cloud-native backends — REST/GraphQL APIs, microservices, and databases — while integrating LLMs, RAG pipelines, and AI agents. Works with Python/Node.js/Java/Go, PostgreSQL/MongoDB/Redis, Docker/Kubernetes on AWS/Azure/GCP, plus OpenAI/Claude/Gemini APIs and vector databases.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Designs, builds, and deploys production-grade enterprise AI agents (LLM/agentic apps) using Microsoft Copilot Studio and code-first frameworks like Semantic Kernel, LangGraph, and LangChain. Day to day: agent architecture, RAG pipelines, tool/API integrations, Entra ID identity patterns, evaluation, and CI/CD deployment.
Senior Product Manager for AI at Couchbase, owning end-to-end product execution for AI capabilities in their operational data platform. Focuses on vector search, embeddings, RAG, and model serving, collaborating with engineering, sales, and GTM to ship customer-driven features while leveraging AI tools in PM workflows.
Builds AI-powered web and mobile applications for a medical care center in Nuremberg, integrating LLM APIs, RAG pipelines, and interfaces to existing clinical systems, and operating them in the cloud. Core stack: TypeScript/React (or Vue), Python/Node.js, Azure/AWS with Docker and CI/CD.
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