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Builds full-stack Java/Spring Boot and React/TypeScript apps, integrates Generative AI features, and deploys to Kubernetes while using AI tools like GitHub Copilot.
Lead a team building Python-based generative AI solutions, guiding architecture, cloud deployment, and GenAI frameworks while mentoring engineers and aligning tech strategy with business goals.
Build and scale enterprise-grade ML and GenAI platforms, hardening research code into production services, and enabling hundreds of practitioners to deploy and monitor models securely and cost-effectively.
Build and deploy AI/ML models and GenAI applications to optimize Amgen’s global supply chain, integrating LLMs, vector databases, and orchestration frameworks like LangChain.
Build and deploy LLM-powered assistants, RAG apps, and AI agents on enterprise platforms like ChatGPT Enterprise and AWS, using Python, TypeScript, and cloud-native tools.
Build enterprise GenAI applications using LLMs, RAG, and agentic workflows with Python, LangGraph, and cloud tools in a hybrid role.
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 implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high…
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
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.
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.
Job Responsibilities Design, develop, and deploy AI‑powered solutions. Build scalable AI systems and integrate AI / Machine Learning (ML) models into applications, optimizing AI workflows for production. Collaborate…
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…
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.
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.
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.
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.
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.
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