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Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Build and lead a full-stack system using Node.js (NestJS/Express), React, Supabase, and AWS, while integrating AI tools for coding, testing, and automation in an edtech environment.
Builds and maintains .NET web/desktop apps and integrates AI features like chatbots and document processing using C#, ASP.NET, and Azure AI/OpenAI APIs.
Build and deploy production-grade Generative AI services in Python, integrating LLMs, agents, and vector databases to power personalised travel experiences and internal tools at Air New Zealand.
Design and build generative AI and LLM-powered solutions for clients, including agent architectures, RAG systems, and cloud-based AI platforms on Azure/AWS/GCP.
Build data-heavy full stack apps and AI features for clients, using Python, TypeScript/React, cloud platforms, and data pipelines while collaborating closely with distributed teams.
Build Palette’s AI-native signal engine: ingest team tool data, model it as a queryable graph, and power shared context for both humans and agents using LLMs and vector search.
Business Automation & AI System Engineer We're expanding our IT Department and are looking for 2 talented Software Developers / AI System Engineer to join our growing team! Be part of an exciting digital…
Build and deploy ML models, predictive analytics, and AI-powered apps to drive data-driven decisions across DKSH’s markets using Python, SQL, and frameworks like Scikit-learn and XGBoost.
Builds and maintains AI-powered assistants and transactional systems; works on full-stack development, RAG pipelines, vector databases, and automated QA for a payments and document-processing platform.
Builds enterprise-grade AI solutions (LLMs, RAG, agents) and scalable backend services for banking and healthcare clients using Python/Java/Node.js and modern cloud stacks.
Build and deploy enterprise AI systems like RAG pipelines and AI assistants using Python, LLMs, and vector databases; optimize performance and integrate APIs for production environments.
Build and deploy AI-powered applications on AWS, integrating LLMs and cloud-native tech to create production-ready AI services and agents.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Build and deploy scalable AI/ML models and LLM-based systems on Hilti’s AI platform, using Python, Azure, and MLOps/LLMOps practices to power global construction workflows.
Lead the design and implementation of AI-powered features for enterprise software, including accounting and POS systems, using RAG, AI agents, and cloud/on-premise integration.
Senior engineer building AI-powered FinTech products: eKYC, fraud detection, and LLM chatbots on AWS serverless with Bedrock, Python, and ML pipelines in a regulated environment.
Build and deploy AI-driven solutions, including LLM integrations, RAG, and agent-based workflows, while engineering scalable data pipelines and maintaining production systems.
Build and maintain an AI platform: design services, deploy LLMs, optimize inference, and implement MLOps/RAG workflows for enterprise AI solutions.
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