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Design and implement AI systems for healthcare and life sciences, leveraging deep domain expertise alongside strong technical skills.
Optimize and deploy large-scale on-prem LLM inference systems using NVIDIA H200 GPUs, vLLM, TensorRT-LLM, and OpenShift AI for enterprise private GenAI environments.
Role: LLM DevOps/Inference Engineer (W2 Only) Location: REMOTE Must Have: Hands on exp launching inference containers Build and maintain the AWS infrastructure for the evaluation platform as code, including networking,…
Own AI use cases end-to-end for J.P. Morgan, from discovery to delivery, building production-grade LLM-powered agents to solve banking productivity challenges at scale.
Build and deploy AI agents for customer support teams, integrating with tools like Zendesk and Intercom to automate workflows and improve resolution rates.
Role: AI Engineer Location: Columbus, OH (Onsite) Job Description We are looking for an experienced AI Engineer to join our team. The ideal candidate will have hands-on experience building and deploying AI/ML…
Design and implement AI/ML models to analyze large datasets and improve enterprise-wide applications using statistical and machine learning techniques.
Lead generative AI initiatives at Barclays, designing data models and processes to transform finance functions through AI-driven automation and governance.
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Lead AI Engineer at All Your BI, responsible for technical direction and building production-grade AI systems including LLM applications, RAG, and agents, focusing on reliability, cost optimization, and technical leadership.
Build and maintain SAS’s generative AI platform and tools, integrating models into enterprise workflows with a focus on scalability and reliability.
New York City | Full-Time | Founding Team About Futureproofing FutureProofing has partnered with a prolific M&A investment banker to build an end-to-end AI platform for investment banking, a category that has been…
Develop and refine AI autograders to evaluate image generation quality at scale, influencing Apple's AI features used by millions.
Design and deploy AI agents that autonomously retrieve, synthesize, and reason over biomedical data to accelerate drug discovery and therapeutic development.
Designs and builds autonomous AI agents with multi-step reasoning using LLMs (e.g., AutoGen, Microsoft Agent Framework) while owning microservices development, testing, and deployment in containerized environments.
Build and deploy autonomous AI agents using LLMs and agentic frameworks (AutoGen) while developing scalable Python microservices with FastAPI and Kubernetes.
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Designs and leads the GenAI architecture for an AI-driven underwriting transformation, integrating models, cloud, and security into production workflows.
Senior engineer building scalable frontend and backend systems for WHOOP’s AI-powered health and fitness platform, collaborating with product and data teams.
Evaluate AI-generated content across text, images, audio, and video for accuracy and quality using detailed guidelines.
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