Finaira

AI Engineer I

Finaira

full-time

Posted on:

Location Type: Hybrid

Location: Cairo • Egypt

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Tech Stack

JavaMicroservicesPython

About the role

  • Support data collection, cleaning, and preprocessing for ML and LLM projects.
  • Assist in implementing, evaluating, and optimizing AI/ML models and LLM pipelines.
  • Develop and test prompt templates, retrieval chains, and agentic components under guidance.
  • Contribute to fine-tuning and lightweight adaptation (LoRA, adapters, instruction-tuning) of models.
  • Implement model APIs or inference endpoints, and integrate them into applications or microservices.
  • Participate in debugging, troubleshooting, and monitoring both ML pipelines and agentic workflows.
  • Document data flows, model architectures, and experiment results clearly.
  • Stay current with advances in machine learning, generative AI, and agent frameworks (LangChain, LangGraph, vLLM etc.).

Requirements

  • Education: Bachelor’s in Computer Science, AI, ML, Data Science, Electrical Engineering, or related field.
  • Experience: 0 to 3 years in software development or academic AI/ML projects.
  • Technical Skills
  • - Solid programming skills (Python, R, Java, C++).
  • - Understanding of ML concepts (supervised/unsupervised learning, evaluation metrics).
  • - Familiarity with LLM ecosystems (OpenAI API, Hugging Face, LangChain).
  • - Exposure to fine-tuning and prompt engineering.
  • - Knowledge of data structures, algorithms, and Git.
  • - Basic understanding of MLOps / AgentOps workflows.
  • Soft Skills
  • - Curiosity, teamwork, and proactive learning attitude.
  • - Analytical mindset with good communication skills.
  • - Customer-centric thinking and disciplined work ethic.
Applicant Tracking System Keywords

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

Hard Skills & Tools
PythonRJavaC++machine learningLLMfine-tuningprompt engineeringdata structuresalgorithms
Soft Skills
curiosityteamworkproactive learninganalytical mindsetcommunication skillscustomer-centric thinkingdisciplined work ethic