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Build AI-powered developer platforms and agentic workflows that embed LLMs and RAG into OCBC’s software delivery lifecycle to automate coding, reviews, testing, and deployments.
Build and operate the Azure-based AI platform powering conversational AI products, focusing on RAG, LLM orchestration, vector search, and production AI services.
Senior AI Engineer builds production-grade Agentic AI, Generative AI and RAG systems using Python and Azure, deploying multi-agent workflows and LLM-powered applications for a global SaaS product.
Architect and build scalable, secure microservices in C#/.NET Core or Python for Palo Alto Networks' enterprise cybersecurity platform, using Kubernetes, AWS, and modern CI/CD.
Design AI-powered customer-service architectures for large enterprises, integrating Zendesk’s platform with external systems to automate 80% of support workflows.
Senior Full Stack Developer builds scalable web apps using Python/Java backend, React frontend, and Elasticsearch; optional AI work with LangChain, LLMs, and vector embeddings.
Build and ship production-grade AI features as part of a cross-functional squad, designing RAG pipelines, agent workflows, and retrieval systems to integrate LLMs into enterprise workflows.
Build and deploy LLM, RAG, and agentic AI systems using LangChain, LangGraph, and vector databases, shipping production-ready solutions on AWS/GCP/Azure.
Lead AI/ML engineer at JPMorganChase building secure, scalable ML systems for home lending servicing, including pipelines, inference, monitoring, and MLOps while driving adoption of enterprise AI-assisted engineering practices.
Build and deploy AI-powered web apps and APIs for smart manufacturing, integrating LLMs, robotics, and predictive models to optimize Micron’s global semiconductor production lines.
Build full-stack AI applications and agentic systems using React, TypeScript, Python, and MCP infrastructure, integrating LLM tools, RAG retrieval, and secure enterprise APIs.
Build, test, and deploy AI-powered applications and machine learning solutions while learning cloud platforms and responsible AI practices alongside senior engineers.
Build and deploy production-grade AI systems, including agentic AI, RAG, and knowledge graphs, using Python and cloud-native tools on GCP.
Build and deploy AI-powered web apps using React, Node.js/NestJS, and Python, operationalizing prototypes and integrating LLMs with RAG and prompt engineering.
Builds enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in finance and other industries.
Build and operate an agentic AI platform for legal workflows, including orchestration, retrieval, and evaluation systems, using Python and LLM frameworks in a collaborative, startup-like team.
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity using NLP, retrieval-augmented generation, and agentic workflows.
Build and ship production-grade AI features using LLMs, RAG, and agentic workflows, integrating them into enterprise systems while ensuring code quality and stakeholder alignment.
Build and deploy production-grade AI agents using LLMs, RAG, and orchestration frameworks to power Workday’s next-gen HR platform at global scale.
Build and maintain Python backend services and AI pipelines for DossiAI, integrating LLMs, retrieval workflows, agent orchestration, guardrails, and automated evaluations to deliver grounded, traceable results for federal agencies.
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