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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.
Build and deploy full-stack AI applications using Anthropic's Claude ecosystem, including agentic systems, RAG pipelines, and MCP integrations, while working embedded with clients to take AI products from idea to production.
Senior engineer builds and deploys LLM-powered agents and RAG systems for clients, owning presales scoping through production deployment with Python and cloud tooling.
Designs and owns scalable AI architectures for enterprise clients, blending Azure cloud solutions, Power Platform low-code tools, and agentic AI frameworks like LangGraph and RAG systems.
Build and maintain automated test frameworks for AI agents and LLM-powered apps, including eval pipelines, chaos testing, and CI/CD integration across LangGraph and Vercel stacks.
Build AI-powered integrations and agent-driven workflows using TypeScript and LLMs to automate data collection and orchestration across systems.
Build production-grade agentic AI systems that analyze workplace data (surveys, reviews, goals) to power HR features like feedback and performance insights using Python, React, and graph/RAG techniques.
Build and own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
Build and own Qashio’s AI/LLM platform, designing secure, vendor-neutral systems for agent orchestration, RAG, and compliance controls from prototype to production.
Build and own AI/LLM systems for a fintech expense platform, designing secure RAG, agent orchestration, and evaluation pipelines in Python.
Lead the DevOps strategy for AI agent workflows, owning CI/CD pipelines, containerization with Docker/Helm, and Python-based automation to deploy and test non-deterministic AI systems.
Own and optimize GitLab CI/CD pipelines, Docker packaging, and Helm charts for Python microservices on Kubernetes, collaborating with cloud teams to streamline releases.
Builds enterprise-grade Python/Django and FastAPI backends plus React/Next.js frontends, deploys on AWS, and integrates AI models (OpenAI, LangChain) into scalable microservices.
Build and maintain AI-ready data pipelines and retrieval infrastructure for a fintech SaaS, using AWS, TypeScript, Python, and vector search to power RAG and agent systems.
Build backend systems for an AI-driven fintech platform that helps startup employees manage equity, taxes, and wealth forecasting with correctness-critical financial models.
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