Artificial Intelligence Engineer

. Own the end-to-end technical direction and architectural patterns for high-impact GenAI initiatives.

Posted 4/1/2026full-timeRemote • 🇮🇹 ItalySeniorLeadWebsite

Tools & technologies

Python

Key responsibilities & impact

Own the end-to-end technical direction and architectural patterns for high-impact GenAI initiatives.
Establish and evolve the CI/CD and automated evaluation pipelines.
Lead the evaluation and prototyping of cutting-edge techniques to make high-stakes decisions for our AI roadmap.
Implement sophisticated observability hooks and monitoring strategies to trace agent logic and optimize performance.
Drive the experimentation loops to ensure solutions are both cutting-edge and commercially viable.
Act as the principal design authority and code reviewer, mentoring engineers and championing practices.

What you’ll need

8 to 15 years of robust engineering experience, preferably within a Tier-1 organization.
Python expertise with a deep understanding of developing and scaling high-quality code.
Proven expertise in developing LLM applications and working with RAG frameworks including hybrid search, vector DBs, and ANN algorithms.
Strong background in defining component-level architecture and influencing team patterns for agentic workflows.
Deep understanding of implementing automated evaluation pipelines for non-deterministic AI outputs.
Experience with LLM observability and analytics tools such as Datadog or Databricks.
Deep understanding of Agile delivery and ability to handle production issues across multiple time zones.

Comp & perks

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Hard Skills & Tools

PythonLLM applicationsRAG frameworkshybrid searchvector DBsANN algorithmsautomated evaluation pipelinesobservabilityanalytics

Soft Skills

leadershipmentoringcommunicationproblem-solving