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Skm Group
AI

Senior AI Engineer - Python [J233]

Skm Group · Remote, IE · $59k

Actively hiring Posted 5 months ago

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.
  • 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.

Basic qualifications

  • 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.
  • 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 the company

  • Python: 5 years (Required)
  • AI: 4 years (Required)

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