Senior AI Engineering

AgentixLake GmbH

Abu Dhabi

Remote

AED 13,000 - 23,000

Part time

8 days ago

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Job summary

AgentixLake GmbH Hamburg Germany is seeking a Working Student in AI Engineering who enjoys Python and wants to develop practical applications using large language models.

You will work on Python projects that connect LLMs to data APIs and tools, build RAG workflows, and support document intelligence pipelines while improving tests, logging, and documentation in a small team. Remote within UAE.

Qualifications

  • Practical Python skills with APIs, JSON and Git.
  • Good understanding of large language models and curiosity in how AI applications are built.
  • A careful approach to testing: you understand when a system works when it fails and why.
  • Good English communication skills.

Responsibilities

  • Help develop Python applications that connect large language models to data APIs and tools.
  • Build and improve retrieval-augmented generation (RAG) workflows including document processing, chunking, embeddings and retrieval.
  • Support document intelligence pipelines that extract structured source-linked information from complex documents.
  • Implement and test agent workflows including tool use and human approval steps.
  • Create evaluation datasets and compare answer quality, retrieval performance, latency and cost.
  • Add tests, logging and documentation to make AI applications easier to operate and improve.

Skills

Python
APIs
JSON
Git
English

Tools

FastAPI
Docker
Amazon Bedrock
Claude
Vector Databases

Job description

AgentixLake GmbH Hamburg Germany
Remote within UAE
turn AI ideas into systems people can rely on.

An AI application needs more than a convincing first answer. It needs relevant data useful tools measurable quality and reliable software behind it.

At AgentixLake youll help build that software. Were looking for a Working Student in AI Engineering who enjoys Python and wants to develop practical applications using large language models.

About AgentixLake

AgentixLake is a Hamburg-based data and AI engineering company. We build production-grade data platforms and AI systems on our customers cloud and on-premises infrastructure.

Our projects include AI agents that investigate data pipeline failures assistants that answer questions using governed business data and document intelligence systems that extract structured information from complex manuals.

We are an AWS and Anthropic Certified Services Partner.

What youll work on

Working alongside experienced engineers you will:

  • Help develop Python applications that connect large language models to data APIs and tools.

  • Build and improve retrieval-augmented generation (RAG) workflows including document processing chunking embeddings and retrieval.

  • Support document intelligence pipelines that extract structured source-linked information from complex documents.

  • Implement and test agent workflows including tool use and human approval steps.

  • Create evaluation datasets and compare answer quality retrieval performance latency and cost.

  • Add tests logging and documentation to make AI applications easier to operate and improve.

What you bring
  • Practical Python skills with APIs JSON and Git.

  • Good understanding of large language models and curiosity in how AI applications are built.

  • A careful approach to testing: you understand when a system works when it fails and why.

  • Good English communication skills.

Show us what you got: a university or personal project involving LLMs RAG embeddings or AI agents; experience with Amazon Bedrock Claude vector databases FastAPI Docker or an AI application framework.

What you can expect
  • Exposure to the full application lifecycle from experimentation and evaluation to deployment and monitoring.

  • A small team where your questions ideas and contributions matter.

Follow our journey

Follow AgentixLake on LinkedIn for updates engineering insights and future opportunities.

We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply.

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