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описание
The customer provides digital, connectivity, and business solutions to individual and organizational clients, including communication services, digital platforms, infrastructure solutions, and technology-enabled services. The project expands enterprise AI and data capabilities across a telecommunications organization through AI copilots, intelligent search, document intelligence, and agent-based automation.
задачи
Design and develop GenAI solutions using Azure AI Foundry and Azure OpenAI Service;
Build Retrieval-Augmented Generation (RAG) platforms and AI copilots;
Develop agentic AI workflows and autonomous AI assistants;
Implement document intelligence and enterprise knowledge management solutions;
Build and optimize vector search, embeddings, retrieval pipelines, and re-ranking mechanisms;
Integrate AI capabilities with enterprise data platforms and business systems;
Create production-grade evaluation, monitoring, and observability frameworks for AI solutions;
Implement LLMOps and MLOps practices using Azure-native tooling;
Ensure compliance with security, privacy, governance, and data residency requirements;
Collaborate with business teams to identify AI opportunities and deliver PoCs and production solutions;
Optimize AI workloads for quality, latency, and cost efficiency;
Support the deployment and operation of AI solutions in enterprise environments.
требования
At least 4 years of experience in AI Engineering, Machine Learning Engineering, Data Science, or a related field;
At least 1.5–2 years of hands-on production experience with LLM and Generative AI solutions;
Strong Python development skills;
Experience with Azure AI Foundry, Azure OpenAI Service, and Azure AI Search;
Experience building RAG solutions in production;
Experience with embeddings, vector search, hybrid search, and retrieval optimization;
Knowledge of LangChain, Semantic Kernel, or similar AI frameworks;
Understanding of AI evaluation frameworks, guardrails, and observability;
Experience integrating AI solutions with enterprise data platforms;
Knowledge of Azure networking and security concepts;
Experience with REST APIs and Docker;
Git-based development workflow experience;
English at Upper-Intermediate level or above;
Nice to have: AKS (Azure Kubernetes Service), Azure Machine Learning, Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, multi-agent systems and agent orchestration, document intelligence and OCR use cases, telecom industry experience, experience in regulated environments with data residency requirements, Microsoft AI certifications (AI-102 or similar), experience with customer analytics, recommendation engines, Next Best Action or Collection Intelligence solutions, experience supporting AI solutions in production environments.
условия
Opportunity to change projects and/or develop expertise in an interesting business domain;
Professional, financial, and career growth; mentoring and adaptation systems for each new employee;
Opportunity to earn up to an additional 1,000 EUR per month, depending on expertise, through company activities; this amount is included in the annual bonus;
Access to the corporate training portal and its regularly updated knowledge base;
Corporate events and amenities, including parties, pizza days, PlayStation, fruit, coffee, snacks, and movies;
Certification compensation (AWS, PMP, etc.);
Referral program;
Private health insurance and sports compensation, depending on the type of employment.
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