Qureos

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AI Engineer (In-House)

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We are hiring an in-house AI Engineer to join our Lahore-based engineering team. This role focuses on building and deploying AI-driven features for our custom platform, including data intelligence, competitive alerts, and user-facing AI interfaces. You will work closely with backend and product teams and have direct ownership of AI integrations and deployments.

Key Responsibilities

  • Work with existing machine learning models and large language models (LLMs).
  • Deploy and manage AI/ML models on private cloud or self-hosted infrastructure.
  • Integrate third-party AI tools and APIs (e.g., Groq, OpenAI, Hugging Face, vector databases).
  • Build data pipelines by connecting AI models with relational and NoSQL databases.
  • Design and implement competitive alerts, insights, and notifications from structured and unstructured data.
  • Develop APIs and basic interfaces to expose AI capabilities within the platform.
  • Optimize inference performance, cost, and scalability.
  • Ensure data security and privacy in AI workflows.
  • Collaborate closely with in-house backend, frontend, and product teams.

Required Skills & Qualifications

  • 2+ years of professional experience in AI/ML engineering or applied AI development.
  • Strong proficiency in Python.
  • Hands-on experience with machine learning models, LLMs, or inference pipelines.
  • Experience deploying models on private cloud, VPS, or on-prem infrastructure.
  • Familiarity with third-party AI platforms and tools (e.g., Groq, OpenAI, Anthropic).
  • Experience working with databases (MySQL, PostgreSQL, MongoDB, etc.).
  • Ability to build and consume REST APIs.
  • Basic experience with interfaces or dashboards for AI-powered features.
  • Strong problem-solving skills and ability to work in an on-site team environment.

Nice to Have

  • Experience with RAG (Retrieval-Augmented Generation) systems.
  • Knowledge of alerting systems, recommendation engines, or analytics dashboards.
  • Familiarity with Docker, Kubernetes, or MLOps workflows.
  • Experience in SaaS or data-driven platforms.
  • Frontend exposure (React, Vue, or similar).

What We Offer

  • On-site role in Lahore with a collaborative engineering team.
  • Opportunity to build production-grade AI systems.
  • Competitive salary
  • Long-term growth and learning opportunities.
  • Direct impact on core product features.

How to Apply

Please share:

  • Your updated resume
  • GitHub or project links (if available)
  • Short summary of AI or ML projects you’ve worked on

Job Types: Full-time, Contract
Contract length: 12 months

Work Location: In person

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