5 дней назад
Senior AI Engineer (Artificial Intelligence)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Artificial Intelligence): Designing and deploying production-grade AI software for security, intelligence, data processing, and surveillance projects with an accent on Generative AI, agentic systems, scalable APIs, and cloud-native infrastructure. Focus on building multi-modal AI pipelines, productionizing RAG applications, optimizing GPU inference, and managing secure containerized deployments.
Location: Bucharest, Romania
Company
develops defence, space, security, and intelligence technologies, including solutions for surveillance, critical infrastructure protection, and data processing.
What you will do
- Design, build, integrate, and deploy production-grade software applications powered by AI models.
- Convert client requirements into resilient software architectures, detailed features, and effort estimates.
- Design secure microservice architectures and scalable REST/FastAPI endpoints for AI model serving.
- Build autonomous agentic systems and advanced multi-modal Generative AI pipelines.
- Manage Kubernetes deployments, automated CI/CD pipelines, and containerized application lifecycles.
- Mentor junior and mid-level engineers, guide technical projects, and establish engineering standards.
Requirements
- At least 5 years of experience in software engineering and AI implementations, with 6 or more years of overall professional experience.
- Strong knowledge of Artificial Intelligence, Deep Learning, Python, TensorFlow, and PyTorch.
- Expertise in object-oriented design, SOLID principles, and secure JSON APIs.
- Hands-on experience with LangChain, Google ADK, vLLM, Qdrant, or Milvus.
- Deep knowledge of OpenShift, Docker or Podman, Helm, Kubernetes, and cloud-native infrastructure design.
- Experience with multi-agent orchestration, RAG productionization, prompt engineering, Natural Language Processing, and Computer Vision.
Nice to have
- Knowledge of reinforcement learning, signal processing, or data science.
- Experience with TensorRT or Triton inference serving.
Culture & Benefits
- Work on security and intelligence projects in a global defence and space organization.
- Continuous education and opportunities to refine the technology stack.
- Motivating salary and a comprehensive benefits package.
- Flexible working arrangements are supported wherever possible.
- Inclusive, multicultural, and collaborative working environment.
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