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Own the AI platform that lets utilities and energy companies build, deploy, and govern autonomous agents using LLMs, retrieval, and tool use while balancing cost, latency, and reliability.
LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we…
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Designs and implements evaluation frameworks for AI agents that plan, execute tools, and act autonomously in industrial environments, focusing on reasoning quality, tool correctness, and edge-case resilience. Collaborates with ML and backend teams to define and measure 'good' agent behavior in high-stakes operational settings.
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
Build and maintain AI evaluation and observability systems, curating datasets and integrating quality gates into CI/CD to ensure AI features work reliably in production.
Hands-on technical leadership role designing and delivering production-grade Generative AI and Agentic AI solutions, including LLM-powered applications, RAG pipelines, multi-agent architectures, and LLMOps using Python, agent frameworks, and cloud platforms.
The AI Engineer will develop and deploy multi-agent systems using LLMs, LangChain, and LangGraph to automate financial processes. The role involves building RAG pipelines, optimizing prompts, implementing LLMOps, and ensuring production-grade observability and evaluation for AI agents.
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
Build AI-driven agents to autonomously detect, diagnose, and remediate issues across CrowdStrike’s large-scale distributed infrastructure, integrating with monitoring and telemetry stacks.
The AI Engineer, Enablement role focuses on teaching customers how to build and deploy production-ready AI agents using LangChain’s tools (LangChain, LangGraph, Deep Agents, LangSmith). Daily tasks include designing hands-on workshops, creating technical enablement content, and building internal tools to streamline the team’s operations while gathering customer feedback for product improvements.
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that…
Build and deploy agentic AI systems for rare disease research, designing multi-turn LLM workflows that validate structured outputs and log decisions for review by clinicians and researchers.
The Manual QA Engineer will perform hands-on manual, exploratory, and regression testing for Kira's AI-powered educational platform. The role involves validating complex workflows, identifying edge cases, and collaborating with engineers to ensure high-quality releases.
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,…
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.
Lead AI Engineer designing and building production-grade AI applications, agents, and platforms using Python, AWS/Azure, and generative AI patterns like RAG and agent orchestration, while establishing AI standards and mentoring engineers.
NLP-команда управления развития искусственного интеллекта (блок «Развитие клиентского опыта B2C») ищет NLP/LLM-инженера для разработки AI-агентов и опромышливания LLM-решений. Мы создаем co-pilot для клиентских…
The AI Engineer will design and implement intelligent software solutions for a banking institution, working with data scientists and engineers to build scalable products. The role focuses on AI strategy and requires experience in software engineering, microservices, and modern AI development frameworks.
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