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Principal Data Engineer builds and leads AI systems at Anaplan, designing retrieval layers, RAG pipelines, and GenAI features that integrate LLMs into real-time planning workflows.
Senior Python developer building autonomous AI agents for logistics optimization using LangChain, CrewAI, and vector databases like Pinecone.
Build autonomous AI agents for logistics optimization using Python, LangChain, and vector databases to automate complex workflows and decision-making.
What happens when an AI or automation solution is already in production—but something goes wrong? We're looking for a Support Engineer – AI & Automation to help keep ATI's AI, LLM, and RPA solutions running…
Design and deploy production-grade AI systems for clients, owning end-to-end architectures, prototypes, and technical standards while guiding engineering teams and advising on LLM stacks and cloud platforms.
Build and architect agentic AI systems (RAG, tool-calling agents) in .NET/C# and Python, then enable WellSky’s engineering teams to adopt them via shared libraries, training, and CI/CD tooling.
Build and deploy AI-powered healthcare tools using LLMs, RAG, and multi-agent systems to improve senior care access and outcomes.
Lead the architecture and delivery of scalable flight-shopping platforms at Expedia, integrating AI/ML systems to improve search, pricing, and personalization for travelers.
Job Duties: Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native services…
Build and deploy LLM- and SLM-powered agentic systems for healthcare decisioning, including clinical reasoning, prior authorization, and claims integrity, using frameworks like LangGraph and LangChain.
Build full-stack features in React and Python for an AI platform serving construction and sustainability consulting, integrating LLMs and RAG pipelines.
AI Architect (with Python) AI Architect: Lead end-to-end AI solution design and hands-on implementation in Python. Collaborate across teams to deliver secure, scalable Generative AI and ML solutions. About the role We…
Build and deploy LLM-powered applications for federal systems using RAG, vector databases, and AWS Bedrock/Python, focusing on scalable, secure GenAI solutions.
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing distributed systems, agent protocols, LLM infrastructure, and cloud-native stacks to support secure, scalable agent workloads across the enterprise.
Build and lead the architecture of an AI-powered tax preparation platform using React, Node.js, and AWS, focusing on intelligent workflows for accounting firms.
Build production-grade AI agents in Python using LangGraph/LangChain, orchestrating multi-step reasoning, RAG, and tool use; deploy on cloud stacks with LLMOps and security guardrails.
Build and deploy generative AI systems (LLMs, RAG, agentic workflows) for defense operations, integrating Azure OpenAI, LangChain, and vector databases to support U.S. COCOM missions.
Design enterprise AI solutions using generative agents, RAG, and AIOps to automate IT service management workflows like incident handling, diagnostics, and resolution.
Lead hands-on engineering role building and deploying production-grade AI applications (copilots, agents, RAG pipelines) for a global asset manager, while coaching a new AI team.
Build and deploy production-grade generative AI systems for Capital Group’s investment process, including RAG pipelines, agents, and copilots, while ensuring responsible AI, security, and cost controls.
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