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