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Lead AI/ML architecture and development for fintech products, building and deploying production-grade generative AI systems including LLMs and RAG pipelines.
Build and deploy scalable ML pipelines, real-time/batch inference systems, and LLM serving stacks for a fintech personalization engine in AWS.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Senior AI Platform Engineer builds and scales the infrastructure for IQVIA’s LLM programs, leading compute, data, and model lifecycle management to turn research into secure, production-ready AI solutions in healthcare.
Builds and deploys secure enterprise AI workloads by writing production code, designing low-latency topologies, and integrating Prisma AIRS with microservices and multi-cloud architectures.
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Build and maintain AI infrastructure, inference pipelines, and core services. • Utilize Python, Kubernetes,…
Senior Solution Engineer designs and deploys high-performance GPU cloud solutions for AI workloads, partners with enterprise teams, and runs benchmarks to prove Lambda’s performance and cost advantages.
Field engineer deploys and fine-tunes open-model LLMs for Fortune 500s and AI startups, running end-to-end pre-sales cycles and shipping production code with frameworks like vLLM and TensorRT-LLM.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Design and build the enterprise AI platform’s core architecture, reusable patterns, and agentic AI systems for New York Life’s insurance and financial services.
Build New York Life’s enterprise AI platform and agentic solutions, spanning cloud-native infrastructure, multi-agent orchestration, retrieval systems, and governance—using Python, GCP, and AI-assisted tools.
Build and deploy secure AI-powered web apps in a restricted DoD environment using Python, React, and RAG pipelines with LLMs like Llama 3.
Lead hands-on MLOps engineer building and scaling an internal AI platform for a major exchange, deploying LLM inference, GPU infrastructure, and observability pipelines.
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.
DevOps engineer builds and secures ML/AI pipelines, automates CI/CD for software and data-science teams, and manages on-premise GPU infrastructure with DevSecOps/MLSecOps practices.
Build and optimize an AI-powered healthcare billing platform using locally hosted LLMs to automate medical invoice coding and integrate with client systems.
Lead end-to-end applied AI research and ML lifecycle for language models, fine-tuning, distillation, and production deployment to drive new product features and business impact.
Build production-grade agentic systems and LLM workflows in TypeScript, implementing tool calling, memory management, and multi-agent architectures for an AI-first agency.
Build and maintain scalable MLOps infrastructure for AI/ML services, including Kubernetes clusters, GPU optimization, and LLM inference platforms to support Money Forward’s fintech products.
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