2 дня назад
GenAI Engineer (Senior)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GenAI Engineer (Senior) (LLM/LLMOps): Building multi-agent AI integration layers and scalable AI solutions with an accent on LLM architectures, model optimization, cloud deployment, and observability. Focus on launching projects from scratch, improving CI/CD and infrastructure, and solving complex performance, monitoring, and stakeholder requirements.
Location: Amsterdam, Netherlands; hybrid setup with no mandatory office days
Company
develops ethical and impactful AI solutions through data engineering, user experience, and strategy for international clients.
What you will do
- Implement AI integration layers supporting multi-agent approaches and experiment with emerging AI and LLM technologies.
- Launch AI projects from scratch and establish scalable, maintainable engineering practices.
- Build and improve CI/CD pipelines, monitoring, logging, alerting, and unit tests.
- Optimize backend and website performance through benchmarking and engineering improvements.
- Use infrastructure tools including Terraform, Docker, and Helm.
- Work with business stakeholders and delivery teams to gather requirements, coordinate Agile work, and deploy solutions.
Requirements
- Senior-level experience developing AI solutions involving LLMs, agentic architectures, NLP, or computer vision.
- Strong Python skills and experience with LangChain, LlamaIndex, or similar frameworks.
- Experience building AI pipelines, optimizing models, deploying solutions, and applying LLMOps practices.
- Knowledge of AWS, GCP, or Azure; Docker, Kubernetes, Git, CI/CD, testing, and model traceability tools such as LangFuse or LangSmith.
- Strong stakeholder management skills from requirements elicitation through deployment and DevOps.
- Excellent written and verbal English is required.
Nice to have
- AWS Certified Solutions Architect – Professional or AWS Certified Data Analytics certification.
- Snowflake certifications or experience with Streams & Tasks, Snowpipe, data sharing, or governance.
- Knowledge of additional languages.
Culture & Benefits
- Hybrid flexibility with no mandatory office days.
- Multicultural environment with social events, activities, and an annual company retreat.
- €1000 annual learning budget, mentorship, a growth framework, and annual reviews.
- 25 days of holidays, an NS business card, and holiday allowance.
- Inclusive workplace focused on ethical AI, diversity, accessibility, and respectful collaboration.
Hiring process
- Apply through the company recruitment process and indicate any accessibility support needed.
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