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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 Java engineer building and maintaining scalable backend services for Fanatics Betting & Gaming’s internal platforms, integrating with Salesforce and other systems using Spring Boot, REST APIs, and AWS.
Hands-on AI engineer building production-grade GenAI and agentic workflows (exception triage, root-cause analysis, remediation) for financial services clients. Day to day: Python/FastAPI backends, SQL over large datasets, RAG, agent orchestration and tool calling, deployed on cloud. Remote role based in Porto Alegre, Brazil.
Senior engineer on the Product Foundations team building Metropolis Web Services — the core distributed platform services (IAM, notifications, message processing) powering Metropolis's checkout-free parking/mobility products. Heavy Java/JVM work with microservices, Kubernetes and AWS, service mesh, Kafka/SQS data flows, and Datadog observability; office-first role in Seattle, 4 days per week onsit
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
As a forward-deployed AI engineer for iQor in Metro Manila, you design, build, and deploy enterprise-grade AI agents with traceable grounding and human-in-the-loop controls. Day to day you work with Semantic Kernel, LangGraph, LangChain, and Autogen to build end-to-end RAG pipelines, integrate SharePoint/Dataverse, and deploy via Teams.
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.
Design and deploy AI-powered features that analyze voice and messaging data to improve customer conversations at scale using Python, ML frameworks, and cloud infrastructure.
A hands-on, client-facing AI engineer who designs, builds, and ships production AI solutions on Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry for consulting clients. Day to day involves building agents and RAG pipelines, integrating with enterprise data, and hardening solutions for production using Python or C#.
Senior AI Engineer at Gloat (Tel Aviv) designing, building, and shipping production-grade LLM agents for its workforce orchestration platform. Day to day: multi-agent orchestration, RAG over a knowledge graph, tool/function calling (MCP), evaluation harnesses and guardrails, and deploying model-agnostic agents into Teams, Slack, and Copilot using Python and frameworks like LangGraph.
Principal Software Engineer at Highnote, an embedded finance card issuing and processing platform, building secure, compliant payments platform products — mostly in Java — with strong use of AI-powered development tools. Hybrid role based in San Francisco with in-office days Monday–Thursday; salary range $190k–$240k plus equity.
Senior Java engineer building and maintaining scalable backend services (Spring Boot) and APIs that power Fanatics Betting & Gaming's internal platforms for operations, marketing, support, risk, and data. Includes Salesforce integrations (and some Apex/LWC work) plus occasional internal UI tooling.
Staff engineer on Google Cloud's AI research team who leads rapid 'strike sprints' prototyping autonomous AI agents and multi-agent frameworks, then scales them into enterprise solutions via forward deployed engineering. Core work spans agentic architectures, LLM/foundation-model training and evaluation, and production-grade coding in Python, C++, Java, JavaScript, or R.
Penlink is hiring a full-stack software engineer in Herzliya to design and own production-grade agentic AI features end-to-end — from backend services that orchestrate LLM calls to the UI client — working daily with agentic coding tools like Claude Code and Cursor, with Angular frontend and .NET Core backend experience preferred.
Product Manager at crypto exchange Bybit in Kuala Lumpur leading end-to-end design of LLM/Agent-powered products — intelligent chatbots, AI assistants, recommendations, and automated workflows — from PRD to launch, bridging ML engineers and business stakeholders using RAG, prompt engineering, and multi-agent orchestration.
This is a remote position. Senior AI & Agentic System Engineer Experience: 5+ Years Location: Gurgaon, India / Fully Remote Team: AI Platform / Engineering About the Role We are looking for a Senior AI &…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
This is a remote position. AI Technical Architect – Multi-Agentic AI Experience: 12+ Years | Type: Full-Time Job Summary We are seeking a hands-on AI Technical Architect with strong experience in Generative AI and…
Applied Data Scientist in Cognyte's research group (Pune) develops and optimizes machine learning models and LLM-based agents for the company's investigative analytics products. Daily work spans Python, TensorFlow/PyTorch, SFT/LoRA/QLoRA fine-tuning, multi-agent orchestration, and frameworks like LangGraph, AutoGen, CrewAI, and Semantic Kernel.
Designs, develops, and fine-tunes machine learning models and builds generative AI use cases with frameworks like LangChain, AutoGen, and CrewAI at NielsenIQ in Vadodara. Core stack: Python, scikit-learn/PyTorch/TensorFlow, NLP tools (Spark NLP, Hugging Face, NLTK), GitHub CI/CD, and Agile teamwork.
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