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Build and deploy transformer-based generative AI models and NLP pipelines for PitchBook’s financial data platform using PyTorch, LangChain, and vector databases.
Build and harden AI agent systems that automate underwriting and claims workflows in insurance, using Python and modern agent frameworks.
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.
Design and build GenAI and agentic AI solutions—like conversational AI and RAG systems—on Databricks and AWS to improve wealth-management workflows and decision-making.
Senior engineer building and operating the AI platform that deploys, secures, and governs responsible agentic AI systems using Kubernetes, Terraform, and cloud services.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowpark, Cortex, and native LLM capabilities, owning the full lifecycle from prototype to production.
Lead AI engagements for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of engineers to productionize scalable, high-quality AI solutions.
Drive the future of Agentic AI at Pearson as part of the 'AgentOps' team. Inspire innovation. Empower learning. Why Join AgentOps Work on cutting-edge agentic AI systems at enterprise scale Help build a…
Build and enhance web apps using Node.js/Fastify and React, integrating AI-powered solutions like RAG systems with LangChain and LangGraph.
Own and improve a live patient-facing clinical product: a React/TypeScript widget, a clinician portal, and a Python service layer, while partnering with AI engineers to integrate AI Intake features.
Lead a small team to build AI-powered memory and proactive intelligence systems that track user context and alert on changes, coding more than 50% of the time.
Build and deploy AI/ML systems for B2B financial operations, focusing on invoice matching, payment reconciliation, and agentic workflows using LLMs and RAG in a fintech SaaS platform.
Staff engineer owns a live patient-facing clinical product: a React/TypeScript widget, a clinician portal, and a Python service layer, plus internal tools. Works closely with AI engineers to align application and model development while mentoring junior engineers.
Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Build and deploy enterprise-grade AI solutions using LLMs, predictive models, and agentic workflows on AWS, Snowflake, and Palantir Foundry to deliver scalable analytics and insights across Merck’s business functions.
Staff AI Engineer builds, evaluates, and scales AI features for a healthcare platform, setting safety and quality standards while coaching teams on agentic systems and LLM best practices.
Design and lead enterprise-scale AI and GenAI systems, including LLM apps, RAG pipelines, and agentic workflows using Python, LangChain, and cloud-native tech.
Lead the AI data infrastructure for Grab’s Integrity team, building vector databases, multi-agent orchestration, and proactive guardrails to power autonomous risk-detection systems in real time.
Lead a team building AI-powered data pipelines, vector databases, and multi-agent orchestration for fraud detection and risk mitigation at a large-scale platform.
Build and deploy AI-powered web apps and APIs for a digital asset platform, integrating LLMs, RAG, and agentic frameworks with Java Spring Boot, Kubernetes, and AWS.
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