AI Agent Engineer в GyroMind (Python)

Обязанности:
-Разработка и внедрение моделей машинного обучения и глубокого обучения (ML/DL) для бизнес-задач.
-Оптимизация и поддержка существующих алгоритмов.
-Работа с большими данными: очистка, подготовка, анализ.
-Интеграция моделей в продакшн (API, микросервисы).
-Исследование новых подходов в области AI (LLM, генеративные модели).
Требования:
-Опыт работы от 2 лет в области ML/AI.
-Знание Python и библиотек: TensorFlow, PyTorch, scikit-learn.
-Опыт работы с SQL и NoSQL базами данных.
-Понимание архитектуры нейронных сетей, NLP, CV.
-Английский язык — уровень B2 и выше.
Будет плюсом:
-Опыт работы с облачными платформами (AWS, GCP, Azure).
-Знание MLOps и CI/CD.
-Участие в AI-хакатонах или open-source проектах.

Andersen is hiring an AI Engineer on-site in Abu Dhabi for a project building enterprise AI solutions and enabling secure, scalable automation of business processes.

Our customer is a public-sector organization responsible for advancing digital innovation and modernizing services across multiple domains. It supports strategic initiatives in emerging technologies, collaborates with industry and research partners, and develops long-term technology frameworks for improving operational efficiency and service accessibility. The organization focuses on secure, scalable, and sustainable digital development to drive continuous improvement within the broader ecosystem.

The project is focused on building and operating enterprise-grade AI capabilities. The AI platform enables intelligent automation of workflows, correspondence, document processing, knowledge retrieval, and decision-support use cases while maintaining strict governance, security, and auditability requirements.

• Designing and developing AI agents with tool/function calling and multi-step orchestration.
• Building MCP servers and integrations with Microsoft Graph, records management, procurement, HR, and enterprise systems.
• Implementing multi-agent architectures, state management, retries, fallback mechanisms, and governance controls.
• Designing and operating RAG pipelines for bilingual Arabic/English enterprise knowledge.
• Developing document intelligence capabilities including classification, extraction, summarization, and action detection.
• Deploying and optimizing model-serving infrastructure in on-premise environments.
• Implementing model routing between external and local LLMs.
• Performing model fine-tuning and optimization when necessary.
• Establishing AI evaluation frameworks, observability, monitoring, and regression testing.
• Implementing AI security controls, auditability, compliance, and governance requirements.
• Contributing to enterprise platform development using Python and TypeScript.
• Defining engineering standards, performing code reviews, and evaluating emerging AI technologies.

• Experience in software engineering for 6+ years.
• Production experience with LLM-based systems for 2+ years.
• Strong Python expertise.
• Hands-on experience with OpenAI, Claude, or open-source LLM ecosystems.
• Experience building AI Agents with tool/function calling.
• Experience with MCP, LangGraph, or equivalent orchestration frameworks.
• Production experience with RAG architectures.
• Knowledge of vector databases (pgvector, Qdrant or similar).
• Experience implementing AI evaluation and observability frameworks.
• Strong API and backend engineering skills.
• Experience with PostgreSQL and distributed services.
• Docker and Kubernetes experience.
• Experience with CI/CD and DevOps.
• Understanding of AI security, prompt-injection mitigation, and governance.
• Ability to work directly with business stakeholders and lead technical conversations.
• Level of English – from Upper-Intermediate and above.

• On-premise AI infrastructure experience.
• LLM and TensorRT-LLM expertise.
• Experience in GPU infrastructure planning and optimization.
• LoRA / QLoRA fine-tuning experience.
• Experience in government, public sector, or highly regulated industries.
• Microsoft Graph, Microsoft 365, and Entra ID integration experience.
• Arabic NLP experience.
• Arabic language proficiency.
• AI governance and compliance frameworks experience (ISO 27001, ISO 42001, UAE IA Standard).
• AI-102, CKAD, or AI Governance related certifications.
• Experience defining AI engineering standards and mentoring other engineers.

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and sports compensation, depending on the type of employment.

Join us!

Andersen is hiring an AI Engineer in the USA for a project delivering scalable technology solutions and supporting digital innovation for manufacturing organizations.

The customer is a large international organization operating across multiple markets and industries. It provides a broad range of business and technology-related services, supporting enterprise clients in improving operations, adopting modern solutions, and addressing evolving business needs.

The project is focused on delivering technology solutions for manufacturing clients across various industry initiatives. It aims to support the development, implementation, and enhancement of reliable and scalable solutions tailored to the operational and business needs of manufacturing organizations.

• Designing and developing AI-powered applications using Large Language Models (LLMs).
• Building Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and enterprise knowledge sources.
• Developing Agentic AI applications with autonomous planning, reasoning, and tool usage.
• Designing and implementing multi-agent orchestration frameworks where multiple AI agents collaborate to execute complex workflows.
• Deploying and managing AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure App Service.
• Building APIs and backend services using Python.
• Collaborating with architects, product teams, and business stakeholders to deliver production-ready AI solutions.

• Experience in AI Engineering for 5+ years.
• Strong proficiency in Python.
• Hands-on experience with LLMs and Generative AI.
• Experience implementing RAG architectures.
• Knowledge of Agentic AI and Multi-Agent Systems.
• Experience with Azure AI Foundry, Azure OpenAI, Azure App Service, Azure Functions, Azure Storage, and Azure Key Vault.
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
• Knowledge of CI/CD, Docker, GitHub Actions, or Azure DevOps.
• Level of English – from Upper-Intermediate+ and above.

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and sports compensation, depending on the type of employment.

Join us!