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Designs and owns production-ready AI and GenAI solutions, including LLMs, RAG, agentic systems, and MLOps/LLMOps pipelines, ensuring reliability, safety, and cost efficiency.
Maintain and update Udacity’s AI/Generative AI courses by debugging Python exercises, updating LLM frameworks (LangChain, LlamaIndex), and ensuring workspaces and cloud labs stay current with the latest tools and APIs.
Build secure, scalable digital banking platforms using .NET, React/Next.js, AWS and DevSecOps, leading enterprise-scale architecture and mentoring engineers.
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Designs autonomous network solutions for mobile/fixed telecoms using AI frameworks (Vertex AI, LangGraph), network programmability, and agentic systems to optimize performance and cost.
Build and deploy AI/ML systems for B2B financial operations, focusing on invoice matching, payment reconciliation, and agentic workflows using LLMs and RAG in a fintech SaaS platform.
Build and maintain the AI platform and data lakehouse, automating operations and deploying services using Python, Kubernetes, and MLOps tools.
Build and deploy LLM-powered tools, RAG systems, and agentic workflows, then run the Kubernetes-based AI infrastructure that serves them reliably across the company.
Build and lead large-scale .NET full-stack systems for CBA’s wealth platforms, using ASP.NET Core, React, AWS, and event-driven architectures to power high-volume customer journeys.
Build and deploy production-grade AI agents and RAG systems to automate network troubleshooting and change management using Python, C#, and agent frameworks.
Build and deploy production-grade generative AI and unstructured-data pipelines, including RAG, embeddings, and LLM-powered APIs, using Python, FastAPI, and cloud MLOps tooling.
Build and ship AI systems for property managers: RAG pipelines, multi-step agent workflows, and LLM integrations using TypeScript, Python, and vector databases.
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Designs and builds scalable cloud data pipelines on GCP and AWS, integrating batch and real-time streams into data warehouses and lakes while collaborating with AI teams on GenAI and agentic systems.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
We are looking for an experienced Software Engineer with a strong background and a passion for Generative AI to join our growing technology team in our GenAI team. In this role, you will be instrumental in building a…
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.
Build and optimize large-scale data pipelines and integrate LLMs into production systems for Docusign’s Intelligent Agreement Management platform.
Build and deploy AI-first contract intelligence features using LLMs, RAG, and agentic workflows to automate document review and accelerate deal-making for enterprise customers.
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.
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