AI Engineer
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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