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Build and deploy generative AI agents, RAG systems, and ML models end-to-end using Python, LangChain, and Azure OpenAI to drive healthcare analytics and business impact.
Build and maintain data pipelines, clean and structure financial data, and integrate GenAI solutions like LLMs and RAG for a banking-focused project using Python, SQL, and ETL/ELT.
Build and run the AIOps platform that keeps AI models, LLM pipelines, and agents reliable, scalable, and cost-efficient in AWS/Azure.
Build and deploy production-grade LLM-based applications using Python/Java/TypeScript, integrating with OpenAI, Claude, and open-source models while optimizing cost, latency, and security.
Senior AI & Data Engineer builds AI-powered solutions using Python, LLMs, and RAG pipelines, integrating them into production systems with Azure services.
Build and evolve Roche’s internal AI Agentic Platform, designing scalable agentic workflows, reusable components, and enterprise integrations for secure, compliant AI solutions in healthcare.
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve financial-services problems like health analytics and operations modernization.
Build and scale web apps using .NET Core, C#, and Angular/React, with a focus on REST APIs, AI-driven RAG pipelines, and modern cloud practices.
Builds AI-powered enterprise apps in Java using LLMs, Spring AI, and cloud services; integrates APIs and microservices while ensuring production-grade quality.
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
Build and maintain AI agentic backend systems using Python, LangChain/LangGraph, and vector databases to power autonomous workflows and RAG pipelines for business intelligence.
Builds full-stack AI applications integrating generative and agentic LLMs, working with data science and DevOps teams to deploy and scale AI-powered tools in Node.js, Python, React, and Azure.
Build and ship generative-AI and agentic applications embedded in business tools, integrating LLM gateways and deploying full-stack solutions with React/Vue frontends, Node.js backends, and agent frameworks like LangChain.
Build full-stack AI applications integrating generative and agentic LLMs, from front-end to cloud deployment, collaborating with data science and DevOps teams.
Build and deploy generative-AI backends in Python, designing RAG pipelines, AI agents, and scalable cloud infrastructure on GCP while owning CI/CD, Docker/Kubernetes, and IaC.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
What happens when an AI or automation solution is already in production—but something goes wrong? We're looking for a Support Engineer – AI & Automation to help keep ATI's AI, LLM, and RPA solutions running…
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals,…
Build and deploy AI/ML models on Azure, integrating with Microsoft services like Teams and Graph API using Python, PyTorch, and LangChain.
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