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Responsibilities: Build, deploy, and operate backend systems that power AI-enabled features in production. Design and implement inference pipelines, orchestration layers, and service boundaries around AI models. Ensure…
Build and maintain Android/iOS mobile apps for connected medical devices, integrating BLE, cloud APIs, and OTA updates while ensuring regulatory compliance in a healthcare setting.
Build and ship modern digital products and internal platforms using AI tools daily, owning full-stack architecture, system design, and automated testing end to end.
Leads cloud-native DevOps engineering for EY’s global delivery services, designing Azure-based CI/CD, Kubernetes, and IaC solutions while enforcing security and automation standards across multi-region deployments.
Build and deploy generative AI solutions in Python, designing backend architectures, RAG systems, and AI agents while implementing DevOps practices on GCP.
Build and maintain scalable data pipelines, lakes, and warehouses in Azure, using Python, SQL, and IaC to enable analytics and reporting for clients.
Lead the design and production deployment of scalable AI systems, including GenAI, agentic AI, and LLMOps, while guiding engineering teams and setting technical standards.
Designs and optimizes prompts for LLMs (GPT, Claude, Gemini) and builds RAG pipelines using LangChain/LlamaIndex to deliver tailored AI outputs for enterprise domains like legal, medical, and finance.
Designs and deploys production-grade generative AI solutions (LLMs, RAG, AI agents) for enterprise clients, using frameworks like LangChain and cloud platforms like Azure OpenAI, with a focus on scalability, security, and cost efficiency.
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Builds and maintains scalable .NET microservices and cloud-native apps on Azure, using C#, .NET Core, React/Angular, and event-driven messaging.
Builds and owns AI-driven agent systems for workflow automation, integrating LLMs, RAG, and agentic pipelines to optimize enterprise processes—from prototyping to production deployment.
Build and scale an AI-powered observability platform, moving fluidly across the stack to compress instrumentation time, scale telemetry, and collapse latency while defining engineering culture at an early-stage startup.
Senior full-stack engineer building Java microservices and AI agents that connect LLMs to enterprise systems using RAG, prompt engineering, and modern AI tooling.
Build and deploy AI applications and agentic workflows using LangChain/LangGraph, prompt engineering, and Python, while maintaining data pipelines and evaluation frameworks for a fintech firm.
Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our…
Leads AI/ML architecture and development for Pfizer’s commercial analytics, designing RAG pipelines, agentic systems, and production-grade AI solutions to optimize marketing spend and business strategy.
Job Overview We are seeking a talented and motivated Software Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining software applications that meet the…
About ChronoAI ChronoAI is an advanced AI technology company specializing in human-centric artificial intelligence solutions. We combine cutting-edge natural language processing with personalized analysis frameworks to…
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