обновлено 3 дня назад
Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (GenAI/LLM): Designing, developing, and deploying production-grade GenAI and LLM applications for enterprise clients with an accent on RAG pipelines, orchestration workflows, scalable APIs, and secure cloud deployment. Focus on optimizing model performance, latency, and cost, building evaluation and observability frameworks, and integrating AI systems with enterprise platforms.
Location: Athens, Greece; hybrid working model
Company
delivers responsible digitalisation and technology solutions for EU institutions, public organisations, and private enterprises across Europe.
What you will do
- Design, develop, and deploy end-to-end GenAI and LLM applications for enterprise environments.
- Build RAG pipelines, orchestration workflows, prompt engineering strategies, and evaluation frameworks.
- Develop scalable backend services and APIs integrating AI solutions with CRM, ERP, data platforms, and internal tools.
- Optimize AI systems for performance, reliability, latency, and cost efficiency in cloud environments.
- Implement testing, monitoring, observability, security, compliance, and responsible AI practices.
- Collaborate with architects, product owners, engineers, DevOps specialists, business stakeholders, and clients through workshops and technical demonstrations.
Requirements
- Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, Engineering, or a related field.
- At least 5 years of AI/ML engineering or software engineering experience with production-grade AI solutions.
- Hands-on experience with GenAI, LLMs, prompt engineering, RAG architectures, and evaluation techniques.
- Strong Python programming skills and experience with modern AI/ML frameworks and libraries.
- Experience deploying AI systems on AWS or Azure, including CI/CD and MLOps practices.
- Knowledge of APIs, microservices, distributed systems, scalable backend development, and AI performance optimization.
Nice to have
- Experience in consulting, systems integration, or professional services.
- Familiarity with LlamaIndex, LangGraph, or similar orchestration tools.
- Experience with LLM monitoring, evaluation frameworks, AIOps, AI governance, security, or compliance.
- Experience with both commercial and open-source LLMs.
Culture & Benefits
- Hybrid work in a modern environment.
- Onboarding support with a dedicated buddy.
- Competitive compensation and benefits package with health and life insurance.
- Meal and commuting allowance, plus on-premises well-being activities.
- Continuous learning through Udemy for Business and ad-hoc training.
- Personalized development plan and opportunities to work on large-scale projects impacting citizens.
Hiring process
- Submit a CV in English through the application process.
- Client-facing technical workshops, demonstrations, and solution presentations may be part of the role.
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