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Design and build high-performance distributed systems infrastructure powering AI/Agentic workflows at WEX, including a Data Lakehouse, context retrieval fabric, and multi-cloud (AWS/Azure) platform tooling. Core tech: Java/Scala, Python, Terraform, GitOps, vector databases, and AI agent frameworks.
The GenAI Developer will design and build scalable software solutions using Python, AWS, and generative AI technologies like LLMs and Agentic AI. The role involves cross-functional collaboration to integrate these advanced AI capabilities into the bank's digital landscape.
Build and deploy generative AI and ML solutions for enterprise customers using RAG, fine-tuning, and agentic workflows, then standardize best practices into reusable tooling.
Build and ship AI platform features on top of MariaDB’s relational database, integrating agent frameworks (LangChain, CrewAI) and vector/RAG systems to power enterprise AI applications with multi-cloud deployment.
AI Engineer Location : Fortmill, SC Contract Role Required Skills Strong experience in Python development. Hands-on experience with Generative AI, LLMs, and AI Agent frameworks. Experience with LangChain, LangGraph,…
As a Senior Manager supporting our AI Transformation & Technology service offering, specializing in Agentic AI within banking and capital markets, this role will lead client engagements focused to transform…
This role embeds with enterprise customers to design, deploy, and secure AI agent identity systems using Okta’s stack, acting as a hands-on technical partner and translating complex security requirements into production solutions.
Principal Forward Deployed Engineer at Okta embeds with enterprise customers to design, deploy, and secure AI agent identity systems using OAuth, OIDC, and fine-grained authorization, while translating technical details for leadership.
Builds and deploys AI-driven mental health support systems, focusing on LLM safety, guardrails, and ethical design for a global crisis support platform.
This role involves working as a forward-deployed engineer to build and deploy production-grade generative AI and agentic solutions for Google Cloud partners. You will bridge the gap between prototypes and enterprise-scale applications using Google's AI portfolio, including Gemini and Vertex AI.
Senior Fullstack Developer building a generative AI platform for orchestrating agents, flows, and models using Node.js, Python, LangChain, CrewAI, React, and vector databases in a fully remote role.
The Data Scientist II will develop machine learning and statistical models to support Crop Protection R&D, focusing on applying generative AI, LLMs, and agentic workflows to scientific data. The role involves collaborating with domain experts to build analytical solutions and knowledge graphs to accelerate biological and chemical research.
This early-career role involves designing and deploying AI-powered applications and cloud-native solutions for federal clients using AWS and Azure. The engineer will work with senior staff on RAG workflows, AI agents, and infrastructure automation while supporting digital transformation initiatives.
Build and deploy AI agents that automate cybersecurity workflows across identity, cloud, and compliance at a major airline, using Python, agentic frameworks, and enterprise security tools.
Forward Deployed Engineer at Google Cloud who codes, debugs, and ships production-grade agentic AI solutions directly in customer environments using Vertex AI, Gemini models, Python, and RAG/vector-database architectures.
Builds and deploys production-grade GenAI/Agentic AI systems using LLMs, RAG pipelines, and multi-agent frameworks like LangChain/AutoGen, focusing on scalability, observability, and cloud integration.
Не просто код, а твій вплив на мільйони українців Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни. Про масштаб наших сервісів: 50+ млн запитів щодня…
The AI Fullstack Engineer will build web tools integrated with multimodal LLMs to analyze physical data for global brands. The role involves developing autonomous agents and human-in-the-loop processes using React, Next.js, Python, and various cloud AI services.
Builds and deploys AI agents and digital workers using LLMs, RAG, and enterprise tools to automate workflows and improve productivity in real-world business environments.
This Director-level Java Backend Engineer role involves building scalable enterprise applications for Prime Brokerage and Institutional Equity teams using Java, Spring Boot, and agentic AI workflows. The position requires deep backend expertise and experience integrating LLMs and agentic frameworks into production systems.
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