LLM-Powered AI Solutions Engineer

Gigalabs; Lahore; On-site; PKR 1,200,000 - 2,400,000; Full time

Job summary

Gigalabs in Lahore is seeking an experienced AI/API backend engineer to build and maintain AI-driven APIs and data tools. You will work onsite in Johar Town, implementing data pipelines and ensuring data quality for LLM workflows.

Responsibilities include expanding RESTful services with FastAPI/Flask, wrapping data models into deployable microservices, and optimizing PostgreSQL with vector data storage.

Qualifications

• Hands-on proficiency in Python for data manipulation and backend logic.
• Experience building RESTful APIs with FastAPI and Flask.
• Experience wrapping data models into deployable microservices.
• Experience with LLM pipelines using LangChain, LlamaIndex, or similar.
• Deep familiarity with the OpenAI API and cost optimization.
• Strong PostgreSQL skills including advanced SQL and tuning.
• Experience with vector embeddings and pgvector for vector search.
• Ability to design efficient data schemas for logs and history.
• Experience with n8n workflow automation for data pipelines.

Responsibilities

• Develop AI-Driven APIs: Build internal tools and endpoints using FastAPI that serve data insights powered by LLMs.
• Automate Business Logic: Replace manual data entry and analysis tasks with autonomous n8n workflows.
• Data Quality Assurance: Ensure inputs to LLM pipelines are clean and outputs are accurate.
• Database Management: Maintain and optimize PostgreSQL with relational and vector data.

Skills

Python proficiency

API development

FastAPI

Flask

Microservices

LangChain

LlamaIndex

OpenAI API

Prompt engineering

PostgreSQL

pgvector

n8n

ETL/ELT

Tools

PostgreSQL

OpenAI API

pgvector

n8n

LangChain

LlamaIndex

Job description

Gigalabs in Lahore is seeking an experienced AI/API backend engineer to build and maintain AI-driven APIs and data tools. You will work onsite in Johar Town, implementing data pipelines and ensuring data quality for LLM workflows.

Responsibilities include expanding RESTful services with FastAPI/Flask, wrapping data models into deployable microservices, and optimizing PostgreSQL with vector data storage.