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Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Build and maintain AI-powered QA automation frameworks using Selenium, Java, and REST APIs to test web apps and APIs in CI/CD pipelines.
Build and run a production-grade agentic platform on Kubernetes using Go and Python, integrating AI agents with enterprise tools, memory, and security layers.
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.
Lead a team to build and deploy AI pipelines that detect emerging travel risks using LLMs, NLP, and geospatial analysis in AWS Bedrock and OpenAI.
Lead the design and architecture of Stripe’s ML Platform, building scalable systems for training, serving, and monitoring ML models that power fintech products like Payments and Radar.
Build and scale multi-agent LLM systems and pipelines to power conversational user experiences across devices, using AWS Bedrock, vector search, and Kubernetes.
Build and own AI-powered automation for internal workflows: map processes, design agentic or deterministic solutions, ship production tools, and continuously improve them using LLMs and orchestration frameworks.
Design and build secure, compliant AI/ML platforms on AWS and Azure for a large bank, including MLOps pipelines, guardrails, and observability for regulated environments.
Build and ship agentic LLM systems, RAG pipelines, and evaluation frameworks to power grant discovery and fundraising automation for nonprofits.
Build and deploy AI-powered banking and fintech solutions using LLMs, Python, and Java, focusing on conversational interfaces, automation, and data pipelines for regulated financial institutions.
Build and maintain Dryads’ cross-platform mobile apps (iOS/Android) and web components using React, Capacitor, Firebase, and Mapbox, focusing on AI features, offline mapping, and subscription systems.
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…
OneBlink is an Australian owned software company, based in Gosford on the beautiful NSW Central Coast. We create and market the OneBlink Low-code Suite, a no/low-code application builder that government clients use to…
Build and maintain scalable AI platforms on Kubernetes, wrapping managed AI services behind secure APIs with strict compliance and auditability for a global insurer.
Build and maintain secure, scalable APIs on Kubernetes that wrap AI services (Databricks, Azure OpenAI, AWS Bedrock) for regulated insurance use cases, enforcing compliance, auditability, and real-time streaming outputs.
Build AI-powered features for a logistics platform using Python, LLMs, and cloud tools; develop smart assistants and agents that optimize ecommerce supply chains.
Builds a Python-based AI platform that orchestrates financial research workflows, integrating LLM APIs and cloud-native services to automate data pipelines and model execution.
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