Top Python Jobs in Dublin

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Lead a team of engineers in delivering web applications using Node.js and React. Involve in technical and architectural decisions, improving development processes, and mentoring team members.

Own end-to-end full-stack features and systems (frontend, backend, infra). Ship reliable, high-performance, scalable microservices and LLM-powered customer workflows on AWS, partner with product, make architectural decisions, improve CI/CD and infrastructure, and mentor peers.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

Design, build, and operate multi-region VM and Kubernetes infrastructure on GCP and AWS. Lead IaC standards with Terraform/Spacelift, implement observability (Grafana/Prometheus/OTel), manage core platform services (DNS, certs, ingress, service mesh), drive automation and CI/CD, mentor engineers, and participate in 24x7 on-call incident response and post-incident reviews.

Lead a cross-functional People Analytics product squad to build predictive and prescriptive people-data products. Drive product ownership, data stewardship, GDPR-compliance, AI-agent enabled insights, and partner with business teams to turn analytics into measurable outcomes. Mentor team members and support roadmap delivery across global operations.

As a Senior Backend Product Engineer, you will develop backend systems, enhance user experiences, collaborate with cross-functional teams, and ensure AI integration in product development.

The role involves building AI-ready web applications, collaborating with product managers and designers, and improving workflows based on user feedback.

Full-stack Developers at QuantCo build user interfaces for machine learning solutions, collaborating with data scientists and engineers to deliver actionable products.

Software Engineers at QuantCo will design and develop scalable solutions, integrate models into client businesses, and improve products based on client feedback.

As a Full Stack Engineer at Qualio, you will collaborate on designing and delivering robust cloud solutions, primarily using Python and AWS, while applying best engineering practices.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Design, build, and operate ML platform systems to train, evaluate, deploy, and serve generative models. Improve reliability, scalability, observability, and cost-efficiency of GPU and cloud workloads. Build internal tools and agent-friendly workflows, collaborate with researchers and engineers, and drive platform architecture and automation.

Design, build, and deploy production-grade agentic AI systems: multi-agent orchestration, RAG pipelines, provider abstraction, LLMOps (eval harnesses, prompt versioning, observability), cloud-native deployment (Kubernetes/Docker/CI-CD/IaC), and embed with client teams to deliver reusable patterns and measurable metrics for accuracy, latency, safety, and cost.

Build and operate end-to-end ML infrastructure for training, evaluation, deployment, inference, observability, and CI for large-scale AI systems. Optimize reliability, latency, throughput, cost, and developer tooling to enable rapid experimentation and production-grade model serving.

Design, build, and productionize LLM-powered applications and agent workflows. Integrate models with tools, databases, and services; develop prompting, orchestration, evaluation frameworks; debug and optimize AI behavior for reliability, latency, cost, and product impact.

The Full Stack Developer will design and implement web-based trading tools, collaborating with traders and other teams to meet needs and enhance user experiences.

Lead design, research, and productionization of NLP and LLM capabilities (NER, classification, generation, semantic search, RAG/GraphRAG). Build experiments, prototypes, evaluation metrics, and integrate models into production workflows while collaborating with engineering, data, and product teams.

Lead front-end technical strategy across multiple teams for a complex, data-dense merchant platform. Own architecture, component systems, state management, performance, accessibility, and front-end observability. Mentor engineers, drive cross-team alignment, and partner with Product, Design, and backend engineers to deliver a cohesive merchant experience including the Primer AI Companion.

Maintain and optimize mission-critical bare-metal infrastructure, build automation for web2/web3 deployments, perform R&D and monitoring for blockchain validator/RPC/operator nodes, ensure SLIs/SLOs, and participate in on-call rotation.

Own and scale the corporate IT stack for a fully remote global company: manage MDM for macOS/Windows, administer identity (Okta/SSO/MFA/SCIM), govern SaaS and OAuth, build security and compliance controls (SOC 2/PCI/ISO), automate onboarding/offboarding and workflows with scripting, act as senior escalation for complex issues, and maintain runbooks and documentation.

Lead architecture and build scalable, high-throughput payment systems; mentor engineers; drive technical vision, cross-team delivery, and quality through testing, observability, and CI/CD. Define AI-native engineering practices and optimize performance for global fintech workloads.

Design, implement, test, and review software across the stack to build and optimize AI infrastructure. Collaborate with engineers, support customers through scoping, proofs-of-concept, trials, and production escalation, and help shape company culture and processes in a fast-paced startup.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.