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Senior engineer maintaining and governing AI systems for public-sector clients, ensuring reliability, performance, and compliance with strict SLAs and governance standards.
Builds AI-driven automation workflows using GenAI/Agentic tech to streamline fintech processes like onboarding, transactions, and reporting; integrates LLMs and RAG for context-aware decision support.
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and…
Build and own the ML/LLM stack for Spectrum, JetBrains’ AI-powered semantic layer that extracts, organizes, and reasons over code, docs, and issues to keep software systems aligned.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Build and deploy generative AI and ML solutions for federal clients, from RAG pipelines to agentic workflows, while standardizing reusable recipes and best practices for Snorkel’s tooling.
Role As our Agentic AI Engineer, you will build the intelligence layer that sits on top of our knowledge graph: the part of APAS that turns structured regulatory and operational data into deterministic, citation-backed…
Builds AI-powered full-stack applications by integrating machine learning models with front-end interfaces and APIs, focusing on seamless user experiences and scalable back-end systems.
Build and ship full stack web apps using modern JavaScript/TypeScript and backend stacks, while integrating AI features and leveraging AI coding assistants daily.
Разработка и внедрение LLM-агентов для преобразования истории операций в интерактивную, натурально-языковую аналитику с автоматическими тегами и персонализированными инсайтами. Используются GigaChat, Finetuning, RAG-системы и классическое ML для анализа транзакций.
The AI Engineer will develop LLM-powered agents and RAG pipelines to automate workflows and build conversational interfaces for PureFacts' financial SaaS platform. The role focuses on integrating AI models, ensuring system reliability, and collaborating with cross-functional teams to deliver production-ready AI copilots.
Data Scientist building AI/ML models, predictive analytics, and automated data flows for public-sector and industry clients, primarily using Python or R, Docker, Git, and BI tools.
Salary: £40,000 - 55,000 per year Requirements: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines,…
Build end-to-end features across frontend, backend, and AI/LLM components for internal tools, automation, and data-driven products at the world’s largest crypto exchange.
Leads Databricks-based data platforms and Agentic AI solutions for insurance processes like claims and underwriting, optimizing Spark architectures, FinOps, and regulatory-compliant data governance.
The Senior Agentic Systems Engineer will design and build agentic AI systems to improve internal developer productivity, unify company data, and deliver predictive customer features. The role involves hands-on coding, architectural leadership, and mentorship using LLMs, RAG, and cloud-based infrastructure.
The MLOps & DevOps Engineer will design and maintain scalable cloud infrastructure and automated CI/CD pipelines on GCP to support AI platforms and RAG architectures. The role focuses on bridging data science and engineering by managing ML lifecycles, monitoring model performance, and ensuring system reliability.
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Design and build autonomous AI agents using LLMs and agentic frameworks to streamline merchant communication and reduce operational costs in Rakuten’s ecommerce ecosystem.
The Senior Architect for AI Enablement will lead AI strategy and implementation at Cepheid, building POCs and integrating AI solutions into a Java-based technology stack. This role involves coaching engineering teams, establishing AI coding standards, and driving the adoption of generative AI tools across the organization.
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