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The Senior Engineer will design and build an enterprise agentic analytics platform, focusing on agent orchestration, data access, and LLM-based workflows. The role involves working with technologies like Python, Java, LangGraph, and various data governance tools to connect users and agents to trusted analytical data.
Design and build AI/ML solutions for chemical and manufacturing clients, including time-series models, anomaly detection, and generative AI systems, deployed on cloud platforms.
Мы создаем AI-продукты, которые трансформируют работу маркетинга: от анализа исследований и клиентских инсайтов до интеллектуального копайлота, помогающего маркетологам работать с данными, документами, контентом и…
We are seeking a Lead AI Engineer, Databricks, to design and build data engineering frameworks, reusable components, and best practices that empower hundreds of SAP Data Engineers to build AI-ready Data Products at…
Python/LLM Engineer developing RAG solutions and AI agents for business processes. Responsibilities include designing AI agents, configuring scenarios, integrating with systems, and optimizing RAG pipelines using Python and tools like LangChain/LangGraph.
Senior Software Engineer developing and maintaining production-ready code for cloud-based data platforms, leading cross-team projects, and building libraries. Core technologies include Java, Kubernetes, cloud-native, Spark, Snowflake, Databricks, and Gen AI frameworks like LangChain.
AI Consultant developing generative AI solutions for public sector clients, focusing on NLP, RAG, LLMs, chatbots, and AI agents. Works in interdisciplinary teams to design and implement scalable AI systems while advising public sector clients on AI projects and compliance requirements.
Develop Android mobile applications for LATAM operators, implementing requirements, collaborating with cross-functional teams, and contributing to AI/ML-related tasks including ML frameworks and LLMs.
Design and deploy AI-powered automation workflows for enterprise customers, combining UiPath RPA with LLM agents, Document Understanding, and robust guardrails to ensure predictable, trustworthy outcomes in production.
Мы создаём инновационную мультиагентную платформу для автоматизированной оценки залогов в процессе кредитования юридических лиц. Наша цель — разработать систему, способную самостоятельно принимать решения без…
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
As a Staff AI Architect/Engineer at RBC in Toronto, you'll operate at the intersection of hands-on AI building and enterprise advisory, helping to standardize AI solution design and delivery across the bank while building AI-powered solutions and advising engineering and business teams.
Ship production AI features and design autonomous agents, multi-agent workflows, and ML pipelines on the Trend Vision One platform using Python, GenAI, and PyTorch or TensorFlow.
Build full-stack components for AI pilots, including backend services, API integrations, and frontend implementations, contributing to JD Power's Power Agents library and working with Snowflake and AI frameworks like LangGraph.
Design and implement AI/ML features for cybersecurity solutions, focusing on autonomous systems, multi-agent workflows, and production pipeline management for the Trend Vision One platform.
Develop AI, GenAI and Agentic AI prototypes using Azure, Databricks, and LangChain for a Trading & Supply team. Responsibilities include building RAG solutions, deploying agents, and managing scalable AI workflows with Python and SQL.
Hands-on AI Architect leading solution architecture for client generative and agentic AI builds at a consulting firm in Singapore, designing reference architectures, setting security/governance standards, and owning model/vendor strategy across regulated sectors.
An AI/ML Engineer at Nexstar Media Group designs, builds, and deploys machine learning and agentic AI systems for real-world products, working across the full ML lifecycle from data preparation to model monitoring and iteration.
Designs AI-native SDLC architectures and cloud infrastructure using AWS CDK/Java, integrating AI workflows (LLMs, agentic systems) into enterprise software development workflows.
Lead a team building secure, scalable enterprise apps in Java/Spring Boot and Python, integrating AI/ML features and RESTful APIs for JPMorgan Chase’s fintech systems.
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