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Senior DevOps Engineer designing, building, and scaling cloud-native infrastructure using Terraform, Kubernetes, Python, and AI-driven automation across GCP/AWS at a clean-energy hardware company.
MK-Consulting розробляє державні реєстри, портали, інформаційні та workflow-системи, будує інтеграції між сервісами й автоматизує складні процеси роботи з даними — від discovery та проєктування до запуску й підтримки в…
The Senior Product Manager will lead the development and scaling of an agentic AI orchestration product for government mission applications. This role involves collaborating with cross-functional teams to define product vision, manage roadmaps, and integrate AI technologies into user-centric workflows.
The Full Stack AI Engineer designs and builds scalable AI solutions using LLMs, RAG architectures, and vector databases to automate enterprise workflows. The role requires expertise in Python, cloud-native development, and MLOps/LLMOps to deliver secure and compliant AI applications.
Build and evolve backend architectures for generative AI and multi-agent systems, handling orchestration, integration, and scalability using Python/Java/C# and frameworks like LangChain.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
The Lead Agentic AI Engineer will architect GenAI workflows and RAG-based systems to automate cloud security tasks like drift detection and Terraform module generation. This role involves leading a distributed team to build AI-enabled security tooling for public cloud infrastructure.
Develop GenAI-powered backend solutions using Python, LangChain, and LangGraph; build and extend APIs with FastAPI/Flask while collaborating with cross-functional teams in Kuala Lumpur.
Develops and optimizes genAI-powered software solutions using Python, LangChain, and FastAPI, focusing on backend APIs and scalable workflows for a core AI product.
RAG. Guardrails. Descripción del puesto: ¿Qué estamos buscando? Actualmente, tenemos un puesto vacante para un/a AI Engineer (Generative AI & Data Science Solutions)que quiera unirse a nuestra compañía. Buscamos…
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build…
Senior to Principal Applied AI Engineers build and deploy AI models and systems for UK public-sector projects, using Python, TypeScript, and cloud platforms like AWS to prototype, evaluate, and iterate on solutions that address government challenges.
Ключевые задачи: Разбирать запросы заказчиков и предлагать, каким классом решений их закрывать; Разрабатывать и улучшать RAG-пайплайны: поиск, реранжирование, сборка контекста, цитирование; Поднимать и оптимизировать…
Join our team Location: Plano, TX. Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1’s, H-1B1’s,…
Full-stack Generative AI Engineer building AI-assisted and Agentic AI applications using RAG, LLMs, LangChain/LangGraph on the backend and React on the frontend.
Hands-on AI engineer deploying production-grade LangChain/LangGraph agentic systems for consulting clients — building RAG pipelines, tool integrations, and observability with LangSmith across cloud platforms.
Senior AI/Python Engineer building applications with generative AI frameworks and RESTful APIs, on-site in Irving, TX.
Builds AI-powered commercial services tools (RAG pipelines, agentic workflows) for life sciences, owning full-stack features from design to deployment using Python, React, AWS, and PostgreSQL.
Role Overview We re looking for a Tech Lead to provide hands-on architecture and engineering leadership across UI, Backend & AI for an insurance underwriting platform. 10 years of software engineering experience 3…
Builds AI-powered commercial services tools for life sciences, shipping RAG pipelines, agent workflows, and async Python services on AWS while owning full-stack features from design to deployment.
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