AI Platform Engineer: LLM & RAG Pipelines

Programmers Planet; Lahore; Sur place; PKR 3 000 000 - 5 400 000; Plein temps

Résumé du poste

Programmers Planet in Lahore, Pakistan, is seeking an experienced backend/full-stack developer to own an AI-powered knowledge platform. You will lead ingestion pipelines, multi-source RAG workflows, and the full-stack app on top.

You will build Python backends (FastAPI) and JavaScript frontends, implement authentication and secure data access, and drive CI/CD with Azure DevOps in a data-rich, security-first environment.

Qualifications

• 5+ years of strong Python and backend development experience.
• Hands-on experience building LLM applications and RAG pipelines.
• Data ingestion, REST APIs, webhooks, and third-party integrations.
• Full-stack skills with JavaScript/Node.js.
• Azure DevOps, Git workflows, and CI/CD.
• Solid grasp of authentication, authorization, and secure data access.

Responsabilités

• Build a unified ingestion pipeline using APIs, webhooks, and connectors.
• Design multi-source RAG workflows: chunking, embeddings, indexing, retrieval.
• Enable AI understanding of large codebases and auto-generate architecture docs.
• Develop Python (FastAPI) backends and JavaScript frontends for search, intake, visualization.
• Enforce permission-aware retrieval, provenance, and auditability across the pipeline.
• Apply TDD, automated testing, and CI/CD via Azure DevOps.

Connaissances

Python backend

LLM / RAG

REST APIs

Webhooks

JavaScript / Node.js

Azure DevOps

Git workflows

Authentication & Authorization

Outils

FastAPI

Pydantic

LangChain

LlamaIndex

Description du poste

Programmers Planet in Lahore, Pakistan, is seeking an experienced backend/full-stack developer to own an AI-powered knowledge platform. You will lead ingestion pipelines, multi-source RAG workflows, and the full-stack app on top.

You will build Python backends (FastAPI) and JavaScript frontends, implement authentication and secure data access, and drive CI/CD with Azure DevOps in a data-rich, security-first environment.