AI Engineer
New
European UnionFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- AWSData engineeringData scienceCI/CDDatabricksLLMMLOpsGenerative AI
Requirements
- Solid background in data science, data engineering, or a related discipline.
- Proven, hands-on experience building agentic AI systems, LLM-powered applications, and RAG pipelines.
- Strong working knowledge of the AWS ecosystem, particularly AI/ML services.
- Experience with Databricks for data engineering, ML pipelines, or model serving.
- Ability to work independently and manage own delivery.
- Ability to produce clean, maintainable code.
- Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or LangGraph.
- Familiarity with vector databases or graph-based retrieval techniques.
- Understanding of prompt engineering, LLM evaluation, or fine-tuning workflows.
- Knowledge of MLOps or LLMOps practices.
Responsibilities
- Build and extend multi-agent systems and agentic workflows using frameworks such as AWS Agent Core and AWS Bedrock Flows.
- Develop and integrate Retrieval-Augmented Generation (RAG) pipelines for internal tools.
- Implement LLM-powered chatbots, assistants, and autonomous agents.
- Hardening of proof-of-concept or in-progress AI systems to production-grade standards.
- Pipeline AI components together within the AWS and Databricks ecosystem.
- Apply best practices in observability, logging, and monitoring for deployed AI systems.
- Contribute to CI/CD processes for model and prompt deployment.
- Mentor and support other engineers within AI.
- Communicate progress, blockers, and technical decisions to stakeholders.
- Participate in technical discussions and contribute to architectural decisions.
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