Senior AI Engineer

DeepMetis®

. Architect and implement intelligent LLM-powered ETL pipelines that transform unstructured client data into structured solutions.

Posted 11/5/2026full-timeRemote • TunisiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and implementing LLM-powered ETL pipelines and autonomous multi-agent systems, with a strong focus on Python programming and AI workflow optimization. Proven ability to design evaluation frameworks and deploy production-ready microservices while effectively communicating in English.

Highest-signal resume keywords

Python ProgrammingLLM-Powered Feature DevelopmentAI Workflow OrchestrationProduction RAG Systems DesignMicroservices Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

ETL Pipeline ArchitectureMulti-Agent Systems DevelopmentAI Performance EvaluationRAG Systems OptimizationFastAPI Microservices

Soft Skills

Good Communication SkillsCollaborative Problem SolvingCuriosity About AI

Industry Keywords

Unstructured Data TransformationProduction Quality AssuranceAsynchronous Communication

Tech Stack

Tools & technologies

ETLMicroservicesPython

About the role

Key responsibilities & impact

Architect and implement intelligent LLM-powered ETL pipelines that transform unstructured client data into structured solutions.
Develop autonomous, multi-agent systems using modern frameworks to automate complex, multi-step business processes.
Design and maintain evaluation frameworks to quantify AI performance and ensure production quality.
Build and deploy high-performance RAG systems.
Wrap AI logic into performant, production-ready microservices such as FastAPI services.
Participate in brainstorming and technical design discussions with teammates.
Challenge assumptions, solve problems collaboratively, and grow team knowledge.

Requirements

What you’ll need

Fluent English; the company is English-only.
2+ years of professional working experience as an engineer.
5+ years of experience is closer to the senior bar.
At least 2 years of strong, daily Python use.
Ideally 1–3 years of hands-on experience shipping LLM-powered features.
Experience building AI workflows or agents, including multi-step or multi-agent orchestration.
Experience designing, evaluating, and optimizing production RAG systems.
Experience shipping products used by real, paying customers; side-project demos do not count.
Good communication skills in asynchronous text and calls.
Genuine curiosity about AI and ability to discuss a recent paper, model, or architectural shift.
Cat ownership is optional.

Benefits

Comp & perks

Remote work: Work from home or wherever you like; we are a 100% remote company.
Flexible working hours.
Challenging projects with meaningful impact for customers.
Supportive, curious, open-minded team.
Continuous learning budget.
Claude Code subscription.
Fault-tolerant culture that supports learning from mistakes.