Python & LLM Application Developer - RAG & Agents

Optimageeks; Lahore; Presencial; PKR 1.674.000 - 2.567.000; Jornada completa

Descripción de la vacante

Optimageeks in Lahore is seeking a Python Developer with AI/LLM experience to build AI-powered applications using Python, FastAPI, and RAG pipelines. You will integrate OpenAI and Claude APIs, develop AI agents, and focus on performance and cost efficiency.

The role involves evaluating LLM performance, optimizing cost, and ensuring scalable, maintainable code in a fast-paced team environment.

Formación

• 2 years of relevant experience
• Strong Python development skills
• Hands-on experience with OpenAI/Claude APIs, RAG, AI agents, and FastAPI
• Knowledge of LLM evaluation, cost optimization, and performance tuning

Responsabilidades

• Develop AI-powered applications using Python and FastAPI
• Integrate OpenAI and Claude APIs into applications
• Build RAG pipelines and AI agents
• Evaluate LLM performance and optimize cost and speed

Conocimientos

Python

FastAPI

OpenAI APIs

Claude APIs

RAG pipelines

AI agents

Herramientas

OpenAI API usage

Claude API usage

Descripción del empleo

We are looking for a Python Developer with AI/LLM experience to join our team in Lahore. You will build AI-powered applications using LLM APIs, RAG, and AI agents, with a focus on performance and cost efficiency.

Key Responsibilities

• Develop AI-powered applications using Python and FastAPI
• Integrate OpenAI and Claude APIs into applications
• Build RAG pipelines and AI agents
• Evaluate LLM performance and optimize cost and speed

Requirements

• 2 years of relevant experience
• Strong Python development skills
• Hands-on experience with OpenAI/Claude APIs, RAG, AI agents, and FastAPI
• Knowledge of LLM evaluation, cost optimization, and performance tuning
• Education: Not specified

Skills

Technical Skills

• Python, FastAPI
• OpenAI and Claude APIs
• RAG and AI agents
• LLM evaluation, cost optimization, and performance tuning

Soft Skills

• Problem-solving
• Analytical thinking