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.
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