We are seeking a **Senior AI Engineer** with a strong foundation in **software engineering** and **GenAI solution development**. The ideal candidate combines advanced Python expertise, DevOps fluency, and hands\-on experience with **LLM\-based agentic frameworks**, building robust, production\-grade AI systems. **Core Responsibilities** * Write **high\-quality, maintainable Python code**, adhering to established coding standards and best practices. * Conduct thorough **code reviews**, effective **debugging**, and **comprehensive testing** to ensure software reliability and performance. * Implement and maintain **CI/CD pipelines** using automation tools such as **GitHub Actions, Azure DevOps, Docker, and Kubernetes**, streamlining deployment workflows. * Develop, containerize, and deploy AI solutions across **enterprise environments** (Dev, QA, Stage, Prod). * Integrate **logging, monitoring, and alerting** systems to enable operational reliability and proactive issue resolution. * Collaborate with cross\-functional teams to align technical solutions with business goals and performance standards. **GenAI\-Specific Responsibilities** * Design and implement **AI agentic solutions** using frameworks such as **LangChain, LangGraph, LangFlow, AutoGen**, or similar. * Customize and optimize **LLM\-powered architectures** for scalability, reliability, and real\-world applicability. * Evaluate new GenAI frameworks, tools, and methods to continuously improve solution performance and developer productivity. * Integrate **external APIs**, **vector databases**, and **retrieval\-augmented generation (RAG)** pipelines into production\-ready systems. **Requirements** * 5\+ years of professional software engineering experience, with advanced proficiency in **Python**. * Strong understanding of **containerization** (Docker) and **orchestration** (Kubernetes). * Proven experience building and maintaining **CI/CD pipelines** (GitHub, Azure DevOps, Jenkins, or equivalent). * Experience deploying applications in **cloud environments** (Azure, AWS, or GCP). * Familiarity with **monitoring tools** (Prometheus, Grafana, ELK stack) and best practices in observability. * Practical hands\-on experience developing or extending **LLM\-based applications** using agentic frameworks (LangChain, LangGraph, etc.). * Strong problem\-solving, communication, and documentation skills. **Preferred Qualifications** * Experience with **vector databases** (FAISS, Pinecone, Weaviate, Chroma). * Familiarity with **RAG pipelines**, **prompt engineering**, or **model orchestration**. * Exposure to **MLOps**, **AI evaluation pipelines**, and **cloud\-based AI deployments**. * Understanding of **security**, **authentication**, and **data privacy best practices** in AI systems. **What do we offer you?** * Attractive salary * Large freedom and real influence * No unhealthy competition, team approach to meeting challenges * Remote\-first, flexible working culture * Company apartments in cool cities across Europe: work and enjoy a memorable getaway **About Us** We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here. Job Type: Full\-time Pay: 54,000\.00€ \- 120,000\.00€ per year Experience: * Python: 5 years (required) * AI: 4 years (required) Work Location: Remote