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Lead AI Engineer builds and scales enterprise Agentic AI platforms using LLMs, RAG, and MLOps on AWS, while mentoring teams and guiding client AI roadmaps.
Senior AI Software Engineer specializing in Generative AI, designing and implementing production-ready applications using LLMs, agents, RAG, and cloud architectures (AWS/Azure). Core technologies include Python, LangChain, Docker, Git, and cloud services.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the…
Position Overview As an AI Engineer at Prescient, you will build and deploy GenAI / agentic AI systems that power our competitive intelligence products in the pharmaceutical and life sciences space. Your role involves…
Builds Python-based healthcare software with REST/gRPC APIs, cloud infrastructure, and AI/LLM integrations for ClinDCast’s patient-centric solutions.
Builds full-stack AI-powered features (React/Python) for SOCOTEC’s global enterprise platform, owning components from design to deployment while collaborating with cross-functional teams.
Build full-stack features in React and Python for an AI platform used across global business units, including LLM integrations and data infrastructure.
Design and build production-grade AI systems for healthcare, using Google Cloud, LLMs, and agentic workflows to automate clinical and operational processes while ensuring security and compliance.
Builds and maintains Python-based AI agents and data governance services using LangChain/LangGraph, Docker, and CI/CD pipelines for MWS Cloud Platform.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Build and deploy LLM-based AI agents and NLP systems for a new fintech product, including prompt engineering, RAG, and agent orchestration with LangGraph and MCP.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Maintain and scale Apple’s multi-cloud data and AI platform, ensuring reliability for internal teams building ML/AI services like Ray, LLM agents, and vector stores.
An AI Business Automation Engineer at Box designs and builds AI-driven workflows to transform internal business processes (e.g., finance, legal, HR) by embedding with subject-matter experts, prototyping in Python with LLM APIs/agent frameworks, and deploying production-grade solutions across Box’s SaaS stack (Box, Workday, Salesforce, etc.).
Build and optimize production-ready AI applications using Azure OpenAI, LangChain, and RAG pipelines, integrating LLMs into scalable enterprise solutions.
Designs and builds scalable, secure multi-tenant AI/ML platforms with LLMs and agent frameworks like AutoGen and LangChain.
Builds full-stack apps with React, Node.js, and Python, deploys on AWS/Azure/GCP, and integrates AI tools like Cursor or GitHub Copilot to ship cloud-based solutions.
Lead AI platform engineer designing and deploying enterprise Agentic AI solutions for Fortune 500 customers using LLMs, RAG pipelines, and Java/Python services.
Consultant builds and implements AI and data-science solutions for clients, from prototypes to production, using Python, ML frameworks, and cloud platforms.
Leads DevOps and AI infrastructure for monday.com’s BigBrain team, designing scalable Kubernetes/AWS pipelines, AI gateways, and AIOps agents to handle billions of daily events while mentoring engineers and ensuring security and reliability across global regions.
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