AI Engineer

July 17, 2026
Application ends: October 15, 2026

Job Description

REQUIREMENTS

  • University degree in Systems Engineering, Computer Science, or related fields
  • 3–6 years of software development experience with 1–2 years working with language models in production environments
  • Practical experience with LLM APIs (OpenAI, Anthropic, etc.) and large-scale prompt engineering
  • Knowledge of agent frameworks and orchestration (LangChain, LangGraph, AutoGen, or similar)
  • Experience with vector databases and semantic search
  • Solid software engineering fundamentals: clean code, testing, version control, and CI/CD
  • Ability to define and measure AI metrics such as latency, success rate, hallucination rate, and user satisfaction

RESPONSIBILITIES

  • Design and implement end-to-end AI solutions, including intelligent agents, internal assistants, and automated LLM-based workflows
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for precise and contextualized responses
  • Integrate LLM APIs (OpenAI, Anthropic) and orchestration frameworks (LangChain, LangGraph, N8n) to build multi-step and stateful agents
  • Collaborate with product, design, and data teams to define use cases, success metrics, and AI-driven user experiences
  • Implement observability and model evaluation practices (e.g., LangSmith) to ensure quality, traceability, and continuous improvement
  • Maintain CI/CD pipelines and engineering standards to guarantee quality, security, and scalability
  • Participate in code reviews, technical discussions, and the definition of best practices in applied AI

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