Senior AI Engineer (DevOps & Python) [J233]

• 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.

Do you have experience in Python?, Do you have a Master's degree?, 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., * 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., * 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.

• 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

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.