Hybrid Senior Data, Applied AI Engineer

at almentor

• Job title: Senior Data, Applied AI Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, ElasticSearch, Google Cloud Platform, SQL
• Location requirements: Hybrid, Cairo, Egypt

About the role

• Senior Data Engineer working at almentor to build AI systems and data pipelines for e-learning platform. Collaborating with product managers and engineers to deliver intelligent learning experiences.

Responsibilities

• Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.
• Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.
• Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.
• Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.
• Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.
• Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.

Requirements

• 4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.
• Strong SQL and data modeling skills; experience designing schemas and data contracts.
• Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.
• Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).
• Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) — no deep ML required.
• Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).
• Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.
• Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.
• Bachelor’s degree in computer science, Engineering, or a related field is preferred but not required.

Benefits

• None specified.