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Builds and scales AI-powered frontend products end-to-end, blending UX/UI expertise with AI-native tools (LLMs, automation) to prototype fast, optimize conversions, and ship metrics-driven features for Leadtech’s diverse app portfolio.
The Lead Data Engineer will architect and scale data infrastructure for an AI-powered property management platform, managing real-time pipelines, vector databases, and ML workflows. As the first senior data hire, this role involves defining the technical stack, engineering standards, and data strategy while collaborating with AI and product teams.
Builds AI-driven data pipelines and predictive models to optimize retail operations like demand forecasting, inventory allocation, and marketing attribution using Google Cloud (BigQuery, Vertex AI).
The Senior Agentic Systems Engineer will design and build agentic AI systems to improve internal developer productivity, unify company data, and deliver predictive customer features. The role involves hands-on coding, architectural leadership, and mentorship using LLMs, RAG, and cloud-based infrastructure.
Senior Full Stack Engineer designing and delivering scalable data pipelines, ETL/ELT systems, and cloud-native data platforms, with exposure to AI/RAG features at an IT consulting firm in Singapore.
Greenfield Senior Data Engineer building an analytical data platform on cloud infrastructure, designing ELT pipelines with dbt/Postgres, and creating AI data layers including embeddings, vector stores, and RAG plumbing for internal and customer-facing LLM agents.
Design, build, and maintain automated test frameworks for web, API, and mobile apps using Selenium, Playwright, Cypress, and SQL, integrating into CI/CD pipelines while leveraging AI tools to accelerate testing.
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
The Senior Data Scientist will lead complex data science engagements, combining traditional statistical modeling with Generative AI and LLM techniques. The role involves hands-on development, client communication with C-level stakeholders, and technical leadership of junior team members.
The Senior Forward Deployed Solution Engineer will work directly with customers to design, deploy, and troubleshoot complex infrastructure architectures involving Kubernetes, AI/GPU systems, and cloud-native environments. This hands-on role requires deep technical expertise in automation and systems engineering to ensure successful customer outcomes and production readiness.
Senior AI Engineer building production-grade LLM and agentic AI systems—MCP servers, tool calling, intent routing—integrating Anthropic/OpenAI APIs with Python and SQL in a remote, collaborative team.
Senior Data Engineer builds scalable data pipelines and infrastructure for an AI-powered property-management platform, including vector databases and real-time analytics to support ML workflows.
The Senior AI Engineer will build and operate distributed agentic AI workflows and RAG systems for equity research products. The role involves hands-on development using Python, TypeScript, and AWS to integrate LLM capabilities into production financial analysis tools.
The Full Stack Lead Engineer will oversee frontend architecture and backend development, focusing on scalable applications using React, Angular, and .NET Core. The role involves integrating Generative AI and managing cloud deployments via Azure Kubernetes Service.
Designs and maintains cloud-based DevOps platforms for AI product deployments, focusing on Kubernetes, multi-cloud (AWS/Azure/GCP), and distributed systems to ensure scalability, security, and performance for AI/ML workflows.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
The AI Engineer will design, build, and deploy AI-powered full-stack applications for the public sector, utilizing LLMs, RAG, and AI agents. The role involves developing both frontend and backend components while integrating automation workflows and AI models into governance and audit tools.
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Build and maintain secure, scalable Java microservices for an AI-driven commerce platform, deploying on GCP with Kubernetes and Spring Boot.
Senior Java/AI engineer at a digital consulting firm, responsible for full-lifecycle development of client applications using Java, Spring Boot, microservices on Azure, and LLM/AI technologies including RAG, AI agents, and vector databases.
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