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Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.
Build and ship agentic LLM systems, RAG pipelines, and evaluation frameworks to power grant discovery and fundraising automation for nonprofits.
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve fintech problems like health analytics and operations modernization.
Hello, we’re Instrumentl. Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We’re fixing that. Instrumentl is a profitable, hypergrowth, YC-backed…
Build and deploy full-stack cloud solutions in Azure/AWS using Python, TypeScript, FastAPI, and Next.js, while integrating AI frameworks like LangChain for financial institutions.
Build and operate HERE’s enterprise AI Hub: shared runtime, CI/CD, model registry, and observability for scalable, secure AI deployments and intelligent agents.
Analyzes and improves Merck’s data governance frameworks to ensure compliance and innovation in healthcare data management.
Design and deliver secure, scalable Azure AI and cloud-native solutions using Python/.NET, GitHub, and Azure AI Foundry for Korean-speaking stakeholders.
Build and lead CBA’s next-gen digital wealth platform using .NET, ASP.NET Core, React, and Next.js, designing scalable cloud-native services and APIs for mass-affluent customers.
Build secure, scalable digital banking platforms using .NET Core, React/Next.js, AWS, and DevSecOps; lead architecture and mentor engineers while driving modernization and AI/GenAI adoption.
Builds production-grade AI applications (chatbots, RAG, agents) by refactoring prototypes into scalable, secure, and observable solutions using Azure AI services, full-stack tech (React/TypeScript, Python, .NET), and responsible AI patterns. Bridges business needs with engineering teams to accelerate AI adoption while ensuring governance, compliance, and maintainability.
Design and deploy AI solutions for enterprise customers, using Python, cloud AI platforms, and agentic frameworks to solve business challenges end-to-end.
Job Title: Sr Manager - Product Support ( AI & Data Solutions) Job Description We are seeking a highly strategic product leader for the role of Senior Manager Product Support – AI & Data Solutions. In this…
Lead a team building generative AI assistants and agents using Python, FastAPI, and frameworks like LangChain; deploy on AWS with CloudFormation and GitHub Actions.
Build full-stack AI applications that integrate generative AI, RAG, and agentic workflows using .NET, Python, Blazor, and React, delivering secure, scalable enterprise solutions.
Design and lead the enterprise AI architecture for a portfolio of software businesses, setting standards and reusable patterns to operationalize AI across products and processes.
Senior architect designs and deploys production-grade voice AI agents for enterprise customer support, integrating IVR, STT, TTS, and LLM orchestration with CCaaS platforms like Talkdesk and Zendesk.
Senior SRE builds automation, observability, and AI-driven ops to keep TJX’s global retail systems reliable and self-healing in Azure.
Build and lead AI agent systems and RAG pipelines for aerospace/defense manufacturing, integrating with digital thread and MDM under ITAR/EAR constraints.
Build and deploy AI systems to automate and optimize NVIDIA’s chip-design workflows, including LLM-powered validation pipelines and cross-team AI integrations.
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