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Builds full-stack EHS/ESG software using Node.js backends, React web UIs, and Flutter mobile apps, integrating AI features like LLM APIs.
Lead a team building Capital One’s vector and graph database infrastructure for AI-driven content retrieval, including embedding pipelines, indexing, and RAG systems using Python, AWS, and emerging AI tech.
Build AI-powered accessibility tools and agentic workflows using TypeScript, Python, and AWS, owning full-stack systems from design to production for global enterprises.
AI Implementation Engineer - Job Description Reports to: Senior Manager of AI Implementation Location: 999 Douglas Ave, Altamonte Springs FL Department: Artificial Intelligence Who We Are Fitness Ventures is one of the…
Lead product strategy for Nutanix’s NDB (NoSQL database) team, defining roadmaps and driving development of distributed database features.
Builds and deploys secure, scalable AI systems, including LLMs, vector databases, and agent workflows, while implementing responsible AI governance and monitoring.
About the role Applied AI Engineer will play a key role in designing, implementing, and scaling Mission's enterprise AI platform and intelligent automation capabilities as part of our AI transformation strategy.…
Build and deploy AI-powered insurance applications using prompt engineering, LLMs, and agentic workflows, integrating them into React.js and Python Flask services.
About Inflection AI Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We’re shaping the future of AI by combining emotional intelligence (EQ) and raw…
Build and deploy AI/ML models and GenAI assistants using Python, LLMs, and vector databases; develop APIs and frontend interfaces to integrate AI solutions into products.
Build enterprise-grade web apps using Angular for the front end and .NET Core for back-end APIs and SQL databases, optimizing performance and collaborating with cross-functional teams.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Builds and optimizes AI models (NLP, ML, neural networks) in C# and Python, trains them on large datasets, and integrates cloud AI services for products like chatbots and search engines.
A senior engineer embedded with enterprise clients to advise on AI governance, scope AI projects, and build production-ready solutions using LLMs and agentic workflows.
Senior Software Engineer at Compass in NYC builds AI-driven automation pipelines and integrations for real estate operations, using LLMs, RAG, and cloud-native tools to streamline workflows across departments.
Embedded AI engineer at Google Cloud who builds, deploys, and optimizes production-grade agentic AI systems for high-value public-sector clients, bridging Google’s AI products with customer infrastructure while feeding real-world insights back into product development.
Design and deploy production-ready AI systems, including LLM apps, RAG pipelines, and voice AI, for clients across healthcare, ecommerce, travel, and other sectors.
The Forward Deployed Engineer (FDE) is a hands-on AI professional who combines strong technical expertise with consulting and business partnering skills. Embedded within functions such as Operations, Finance, Sales,…
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
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