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Senior AI engineer building and deploying AI-powered tools for early-childhood educators, using Python, LLMs, and AWS services to create safe, measurable learning experiences.
We are seeking a Senior Applied AI Engineer to lead the development of an advanced automation framework powered by Large Language Models (LLMs). At BOLD, we aren’t just following the AI trend; we are building the…
Senior Data Engineer building and scaling ML-powered data products (OCR, transaction coding, RAG/agentic systems) on a commercial banking platform, using Python, Go, Snowflake, DBT, Kubernetes, and GCP.
About the Project: We are looking for a Senior AI/ML Engineer to join a product AI team developing an AI-powered CRM system. The product includes an AI assistant that performs user-requested tasks within the CRM. Its…
Leads GCP-based data engineering for a customer-experience tech firm, designing scalable pipelines, GenAI infrastructure, and governance frameworks while mentoring teams and partnering with clients.
The Senior Machine Learning Engineer will design, build, and operate production-ready NLP and LLM pipelines using AWS, Kubernetes, and Python. The role involves owning the full ML lifecycle, including RAG development and model fine-tuning, to deliver narrative analytics for mission-critical client projects.
The Technical Product Owner will manage client engagements by bridging the gap between business goals and engineering execution, focusing on delivering production-grade GenAI systems. The role requires a background in software or data engineering and daily proficiency with AI tools to prototype and manage backlogs.
Lead role focused on AI security and vulnerability automation at VodafoneThree, working hybrid across UK offices. The posting provides no detail on daily tasks or core technologies.
The Senior AI Engineer will design and build production-ready AI solutions for banking clients, focusing on Generative and Agentic AI. The role involves integrating AI models with enterprise systems while ensuring security, auditability, and compliance in a regulated environment.
Staff engineer on Google's Enterprise Data Platform team, architecting semantic engines, knowledge graphs, and agentic endpoints that power autonomous AI workflows across the company using large-scale data systems and C++, Java, Python, or Go.
Зарплата: до 350000 RUR (до вычета налогов) Чем предстоит заниматься: R&D и пайплайны: Проектировать архитектуру преобразования входных данных в структуру презентаций (секции, слайды, текст, визуал). GenAI и LLM:…
Lead end-to-end GenAI and Agentic AI architecture, translating business requirements into scalable enterprise AI solutions using GenAI, ML, LLMOps, RAG, LangChain, .NET, and Azure.
Role: Python AI Engineer Location: Cleveland, Ohio (Day1 Onsite) Imp: Tech M / State Street Rate: $70 on C2C. Note: We are looking to hire Python AI Engineer in Cleveland, Ohio, USA immediately who has experience in…
Build and scale production-grade AI applications and agentic systems (orchestration, RAG, tool use, evaluation) at an on-site role in Porto, working across backend and frontend with technical leadership responsibilities.
Senior engineer builds autonomous AI agents and retrieval systems to modernize legacy software for federal healthcare, delivering explainable, traceable answers from decades of source code.
Designs and implements security controls for autonomous AI systems, RAG pipelines, and agentic workflows to prevent misuse, data leakage, and compliance violations in a regulated federal healthcare environment.
Senior AI engineer builds and optimizes agentic AI systems that analyze legacy software codebases for federal healthcare modernization, using LLMs, RAG, and autonomous agents to deliver explainable, traceable answers.
Senior front-end engineer building an AI platform that lets engineers query legacy codebases in plain English, with explainable, traceable answers; core stack is React, TypeScript, and streaming APIs.
Designs and builds secure identity and access management systems for AI agents and enterprise applications, integrating with cloud IAM providers and enforcing Zero Trust principles in regulated environments.
Lead the design and implementation of AI platforms and strategies, focusing on Generative AI, LLMs, RAG, and AI agents for enterprise solutions in a remote role.
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