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Data Scientist / Python Developer – LLM & RAG Platform at Ogesoft Technologies Limited

Posted on Mon 08th Dec, 2025 - hotnigerianjobs.com --- (0 comments)


Ogesoft Technologies Limited, a software company, is recruiting suitable candidate to fill the position below:

Job Title: Data Scientist / Python Developer – LLM & RAG Platform

Location: Nigeria
Employment Type: Contract

Job Summary

  • We are looking for a mid-level Data Scientist / Python Developer (2–5 years experience) to help us bring a RAG–agentic platform from “works in dev” to “works in the real world”.
  • It’s a hands-on, experimental position at the intersection of data science, LLM evaluation, and backend Python development.
  • You’ll simulate users, design experiments, analyze results, and contribute code to make the platform smarter and more reliable.

You’ll be the person who:

  • Puts the LLM & RAG platform under real-life scenarios,
  • Evaluates how it behaves with LLMs and different data sources, and
  • Integrates open-source components and tools into the platform, and
  • Extends parts of the system with new ideas and features that can later be productized.

What You’ll Do

  • Design and run realistic usage scenarios to evaluate the RAG / agentic platform (simulate real users, edge cases, tricky queries, etc.).
  • Measure and analyze platform performance (quality of responses, latency, failure modes, regressions) using logs, metrics, and your own experiments.
  • Prototype and extend system functionality in Python (new tools/agents, prompts, pipelines, evaluation scripts, small services) that can be integrated into the platform.
  • Collaborate with the core engineering team to report findings, suggest improvements, and iterate on system behavior.
  • Work with LLMs and RAG pipelines: prompt and retrieval tuning, evaluating different models/configurations, and testing integrations with external data sources.
  • Build and maintain test/evaluation suites that can be reused to validate new platform versions.
  • Write clean, well-documented, and testable Python code for experiments, internal tools, and platform extensions.

What We’re Looking For

  • Strong Python skills – you are comfortable writing idiomatic, modular code, working with virtual environments, using type hints, handling errors properly, and writing basic tests (pytest or similar).
  • Hands-on experience using Python for data and backend tasks: data processing (pandas/NumPy or similar), scripting and automation, calling external APIs, and working with files / structured data (JSON, CSV, Parquet, etc.).
  • 2 - 5 years of professional experience as a Data Scientist, ML Engineer, or Python Developer working in a production or near-production environment.
  • Experience with data analysis / experimentation: running experiments, comparing variants, interpreting results, and turning findings into concrete code or configuration changes.
  • Familiarity with LLMs or modern ML tooling (e.g. OpenAI, Hugging Face, vLLM, or similar APIs/frameworks), ideally used from Python.
  • Understanding of web services and APIs (REST, JSON, authentication) and how to consume or expose them in Python (e.g. FastAPI/Flask or similar).
  • Comfortable working in a remote, async-friendly environment, sharing progress in writing, and communicating clearly with engineers and stakeholders.

Nice to Have (Bonus, Not Mandatory):

  • Hands-on work with RAG systems, agentic workflows, or vector databases.
  • Experience with evaluation of LLM-based systems (e.g. prompt benchmarking, automatic or human-in-the-loop evaluation).
  • Familiarity with common Python data/ML stack (pandas, NumPy, scikit-learn, PyTorch, etc.).
  • Experience with backend development (FastAPI / Flask / Django, background tasks, integration scripts).
  • Contributions, personal projects, or a GitHub profile showing interest in AI / LLMs / data-heavy systems.

Application Closing Date
31st December, 2025.

How to Apply
Interested and qualified candidates should send their CV and GitHub / Portfolio to: careers.ogesoft@gmail.com using the Job Title as the subject of the email.


  

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