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AI Data Platform Engineer
AI Data Platform EngineerQureos Inc • Pakistan
AI Data Platform Engineer

AI Data Platform Engineer

Qureos Inc • Pakistan
30+ days ago
Job type
  • Quick Apply
Job description

Backend Engineer — AI & Data Infrastructure

We are looking for a Backend Engineer to build the AI and data infrastructure powering our next-generation talent and evaluation platform. You will work on data modeling, embeddings, feature extraction, pipeline creation, and serving AI-powered insights at scale.

This is a hands-on engineering role focused on scalable AI infrastructure — not research or prototyping . You will collaborate closely with engineering and product teams to design systems that process structured and unstructured data, generate semantic representations, and expose intelligence through reliable APIs.

Responsibilities

AI & Data Infrastructure

  • Design and maintain data models for structured and unstructured data
  • Build data ingestion and processing pipelines
  • Implement embedding pipelines and vector search systems
  • Develop feature extraction logic using LLMs and smaller models
  • Optimize for accuracy, latency, and cost

Platform Engineering

  • Design and implement backend services that expose AI-driven insights
  • Maintain versioning, evaluation checks, and health monitoring for AI outputs
  • Optimize performance, caching, and retrieval logic for semantic data
  • Collaborate with engineers to ensure data consistency and reliability
  • Model Integration

  • Integrate LLM APIs, embedding models, and small language models
  • Build evaluation harnesses to validate extraction quality
  • Monitor drift, degradation, and inconsistencies over time
  • General

  • Write maintainable backend code (Node.js / Python / Go)
  • Work cross-functionally with product and engineering teams
  • Ensure AI systems are robust, observable, and production-ready
  • Required Skills

  • Strong backend engineering experience
  • Experience designing or maintaining data pipelines
  • Practical experience with embeddings and vector databases
  • Familiarity with LLM application patterns (prompting, extraction, RAG)
  • Strong SQL and NoSQL fundamentals
  • Ability to design scalable APIs
  • Understanding of evaluation metrics for AI systems
  • Nice to Have

  • Experience with LangChain or LlamaIndex
  • Experience with smaller open-source models (Llama, Qwen, Mistral, etc.)
  • Experience with ETL frameworks (Airflow, Dagster, Temporal)
  • Interest in skills-based matching or intelligence systems (optional)
  • Success Indicators

  • AI pipelines are stable, observable, and scalable
  • Data processing is efficient and correct
  • API services return reliable and consistent insights
  • Embedding systems improve retrieval quality over time
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    Data Engineer • Pakistan

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