Senior AI engineer
Via agency · Randstad Hungary
Software developerApplications developerSystems analystFlexibleFull-timeBudapest
We are looking for a Senior AI Engineer for our partner company engaged in international business and technology consulting to expand their team specializing in generative AI development.
Tasks
- Design, development, and deployment into production of LLM-based, RAG, and agentic systems, from the PoC phase to stable, scalable solutions.
- Designing technical architectures and solution patterns for generative AI applications.
- Independently leading complex AI solutions: design, implementation, quality assurance, and delivery.
- Continuously following and practically adapting the latest generative AI trends and research results.
- Working closely with business areas, decision-makers, and consulting colleagues to identify new use cases.
- Acting as a technical mentor: supporting middle and junior colleagues, providing professional guidance, and improving code quality.
Conditions & benefits
Flexible schedule and hybrid work modelCustomizable working hours and home office option to maintain balance.Comprehensive benefit packageCompetitive base salary, annual performance-based bonus system, SZÉP card allowance, home office support, and private healthcare.Health and wellbeingCorporate sports opportunities, gym discounts, and diverse wellbeing programs for physical and mental recharge.Outstanding training and development opportunitiesDiverse digital and business trainings, workshops, and a stimulating environment for continuous professional development and mastering the latest technologies.Community and cultureActive community life, team builders, corporate events, and a diverse, inclusive, and supportive team culture.
Requirements
- Professional experience: At least 5 years of relevant software development background, including a minimum of 2-3 years of proven experience in developing generative AI / LLM-based systems (specifically RAG and/or agentic).
- Development skills: Advanced Python programming knowledge (preferred) or confident proficiency in another relevant language, strong OOP mindset, and confident application of proven software development principles.
- Architecture and backend: Practical knowledge of backend frameworks (FastAPI, Flask, Django) and microservice architectures.
- Code health and engineering fundamentals: CLEAN code mindset, structured design, and a commitment to long-term sustainable systems.
- Containerization and cloud: Knowledge of containerization and orchestration technologies (Docker, Kubernetes, GitHub Actions, MLflow).
- DevOps / MLOps: Experience in designing and implementing CI/CD and MLOps pipelines in a cloud environment (e.g., Azure ML, Databricks, AWS).
- Data and model management: Practical proficiency in ETL processes, API integrations, and model deployment into production.
- Methodology: Agile operation, knowledge of Scrum / SAFe frameworks and collaborative engineering practices.
- Personal competencies: Independent, responsible work with a leadership approach, proactive and solution-oriented mindset, and a readiness to share knowledge.
- Language skills: Confident, active English language proficiency.