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AI Platform Engineer: Enterprise AI & Orchestration
Design, deploy, and maintain enterprise AI platforms and services using Kubernetes, GPU resources, and vector databases while ensuring scalability and security.
AI Engineer
Builds and scales enterprise-grade GenAI platforms, including RAG pipelines, vector databases, and LLM serving layers, to power AI applications across the organization.
AI Solution Architect
Design and deliver AI architectures for clients, focusing on RAG pipelines, agentic workflows, and LLM integrations using Python, cloud AI platforms, and vector databases.
Associate, AI Engineer
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
LLM Algorithm Engineer
Builds and deploys LLM agents and RAG systems for a freight platform, including AI assistants for drivers and shippers, dispute resolution, and autonomous decision-making tools.
Full Stack Engineer – Generative AI & Agentic AI
Build and deploy full-stack enterprise apps while integrating Generative AI and Agentic AI tools to automate development, testing, and operations across cloud-native environments.
Lead Data and AI Solution Engineer
Lead the design and delivery of GenAI solutions for insurance, including vector databases, RAG pipelines, and LLM fine-tuning to enable context-aware AI across structured and unstructured data.
Lead AI Test Automation Architect
Design and lead AI-powered test automation frameworks using LLMs, RAG, and agentic AI. Build intelligent testing workflows and integrate them into CI/CD pipelines.
AI Platform Engineer
Deploys and maintains the compute, storage, and networking backbone for AI/ML models, using IaC, Kubernetes, and CI/CD pipelines while collaborating with on-site teams.
Data Scientist, Applied AI - Latin America - Remote
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Principal AI Full-Stack Engineer
Principal AI Full-Stack Engineer builds and operates agentic AI systems for insurance products, spanning LLM inference chains, full-stack features, and production infrastructure.
Principal AI/ML Scientist – Engineer
Lead a team of AI/ML scientists and engineers to build agentic workflows and reasoning engines for Pipedrive’s AI-native CRM, shipping production-grade models that drive customer value from structured and unstructured data.
Principal AI Architect / Staff Engineer
Principal AI Architect designs and builds scalable, cloud-native AI platforms using LLMs, RAG, and AI agents, while guiding engineering teams and setting technical standards.
Graduate ML/AI Engineer
Build and deploy ML and generative AI models for manufacturing use cases like predictive maintenance and quality control, working with Python, PyTorch, and RAG pipelines in a hybrid Limerick role.
Senior ML Engineer (AI Research/ Portability)
Build and evaluate AI agent architectures that work reliably across different models, providers, and environments, focusing on portability, interoperability, and optimization.
Senior AI Solutions Engineer
Designs, builds, and deploys AI/ML models for industrial use cases like predictive maintenance and computer vision, using Python frameworks and cloud platforms.
AI/ML Associate Engineer
Build and deploy secure, production-grade AI/ML systems including LLM workflows, RAG pipelines, and agentic AI for enterprise use at a global bank.
AI Software Engineer
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Senior Software Development Engineer
Build and scale AI-driven document systems, focusing on PDF processing, RAG pipelines, and LLM-powered retrieval/analysis for enterprise workflows.
Senior Software Development Engineer
Build and scale AI-driven document systems, focusing on PDF processing, RAG pipelines, and LLM-powered retrieval/analysis for enterprise workflows.