Senior AI Engineer — LLM & Agent Systems for Production

Esgaia; Spain; On-site; EUR 90,000 - 135,000; Full time

Job summary

Glass Lewis and Clarity AI seek a Senior AI Engineer to build and operate production LLM and agent systems that deliver transparent sustainability data. You will join the Data Science team, turning large volumes of unstructured data into structured, reliable insights with traceability to sources.

You will own end-to-end systems from design to deployment, collaborating across teams to ensure reliability, observability, and cost control at scale for our customers.

Qualifications

• 3+ years delivering ML/AI engineering with LLM or agentic systems.
• Strong Python, software engineering, and system design skills.
• Experience building LLM apps and agents with tool calling and guardrails.
• Experience extracting information from unstructured data (OCR, retrieval).
• Product mindset focused on real business problems.
• Production AI services in cloud: serving, containers, CI/CD, observability.
• Experience with AI coding assistants and agents.
• CS/EE/STEM degree.
• Self-starter with ownership and focus on sustainability.
• Excellent English communication (C1 level).

Responsibilities

• Own LLM pipelines end to end from design to deployment.
• Collaborate with data scientists and engineers to scale solutions.
• Turn unstructured data into structured, auditable insights.
• Ensure traceability to sources and measurable correctness.

Skills

ML/AI engineering

Python & system design

LLM apps & agents

Unstructured data extraction

Cloud AI services

English proficiency

Education

CS/EE/STEM degree

Tools

LangGraph

LangChain

Kubernetes

AWS

Airflow

OCR processing

Snowflake

Job description

Glass Lewis and Clarity AI seek a Senior AI Engineer to build and operate production LLM and agent systems that deliver transparent sustainability data. You will join the Data Science team, turning large volumes of unstructured data into structured, reliable insights with traceability to sources.

You will own end-to-end systems from design to deployment, collaborating across teams to ensure reliability, observability, and cost control at scale for our customers.