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Build and deploy AI-powered applications and agents using LLMs for engineers and operators in a rocket factory and launch platform, shipping reliable software in Python, Go, React, and TypeScript.
Hands-on AI Engineer building production agentic workflows for real estate diligence, planning, and execution using LLMs, Python, RAG, and agent frameworks in NYC.
Data Engineer designing and building modern cloud data platforms on Microsoft Azure and Fabric, developing ELT pipelines, lakehouse solutions, and data models for enterprise consulting clients.
Design, implement, and deploy production-ready agentic AI systems using LLM reasoning, RAG, and multi-agent orchestration with Python and AWS, applied to semiconductor design workflows.
Lead AI/ML Engineer at RBC Insurance leading a team of ML engineers, designing and deploying scalable machine learning models and MLOps pipelines using Python, cloud platforms (AWS/GCP/Azure), Docker, and Kubernetes.
AI Product Engineer at Verifast building LLM-powered agents, automations, and internal tools (primarily with Claude) to automate identity/income/employment verification for property management and fintech clients.
Build and evolve MCP servers, graph-RAG pipelines, and agentic layers that connect a platform to multiple LLMs (Claude, Gemini) using Python, vector databases, and graph data stores.
AI Engineer building production-grade AI/ML and GenAI solutions (RAG, agents, NL interfaces) on Snowflake Cortex AI, using Python, SQL, and Microsoft Azure in a hybrid Toronto role.
Builds and evolves MCP servers, tools, and graph-RAG pipelines to expose platforms to LLMs (e.g., Claude, Gemini) using Python, RAG, and vector databases, collaborating with product, data, and QA teams in an agile model.
Build MCP servers and graph-RAG pipelines, integrate multiple LLMs (Claude, Gemini), and deliver production-grade AI solutions in an agile team with product, data, and QA.
Build and own core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments using TypeScript/Node.js on cloud infrastructure.
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments, primarily using TypeScript/Node.js.
Research Engineer at the Alibaba-NTU Global e-Sustainability CorpLab developing Green AI technologies—focusing on LLMs, model optimization, and efficient inference—to advance sustainable computing. Core tech: Python, PyTorch/TensorFlow, large language models, distributed training.
Key Responsibilities Build Python-based scripts, automation tools, lightweight applications, dashboards, and data workflows for semiconductor test development use cases. Design and perform testing/validation of…
Lead application development projects building secure APIs, system integrations, and AI-enabled capabilities (LLM APIs, RAG, AI agents) on cloud platforms (AWS, Azure, GCP), managing full SDLC with Agile/DevOps practices.
Senior Data Engineer designing and evolving Data Products, data pipelines, and domain-oriented data models on Azure/Databricks to power AI-enabled business software.
NTT DATA is seeking a Full Stack Developer to build and maintain scalable web applications using Angular and Java. The role involves integrating Generative AI technologies into development workflows and collaborating within an international, agile team.
Our Opportunity Work Location: Perth - Fortescue's Perth office is located on the traditional lands of the Whadjuk Noongar people. Roster: Monday to Friday. As an AI Engineer within Fortescue’s Data & AI Platform team,…
Build and operate Python backend services powering ML and generative AI solutions (LLMs, RAG, vector DBs) on AWS, collaborating across product, security, and platform teams in Singapore.
Backend Engineer designing, building, deploying, and operating secure backend services for AI-enabled digital services, working on model pipelines, prompt workflows, and RAG solutions in Singapore.
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