Qureos

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Backend Engineer (Python, LLM & AI Agents, Big Data)

Karachi, Pakistan

Job Title: Backend Engineer (Python, LLM & AI Agents, Big Data)

Location: Karachi, Pakistan Job Type: Full-Time

About the Role:

We are looking for a Backend Engineer with 2-3 years of experience in Python development, specializing in LLMs (Large Language Models), AI Agents, and Big Data handling. The ideal candidate should have hands-on experience working with LangGraph and AI-driven workflows. You will play a crucial role in designing and optimizing scalable backend systems that integrate AI models for automation and intelligent decision-making.

Key Responsibilities:

  • Develop and maintain backend services using Python with a focus on AI Agents, LLM-based applications, and LangGraph.
  • Build and optimize AI-driven workflows using LangGraph for reasoning and decision-making automation.
  • Design and implement scalable APIs and microservices for AI applications.
  • Work with Big Data processing frameworks to efficiently manage and process large datasets.
  • Develop data pipelines and integrate AI models into production environments.
  • Ensure system scalability, reliability, and performance in AI-powered applications.
  • Deploy AI-driven solutions on cloud platforms (AWS, GCP, or Azure).
  • Collaborate with ML engineers, data scientists, and frontend developers to build intelligent automation tools.
  • Write clean, maintainable, and well-documented code following best practices.

Requirements:

  • 2-3 years of experience in backend development using Python (Django, FastAPI, Flask, etc.).
  • Strong experience with Large Language Models (LLMs) and AI-powered applications.
  • Hands-on experience with LangGraph for AI workflow orchestration.
  • Experience working with AI Agents (LangChain, OpenAI APIs, AutoGPT, etc.).
  • Knowledge of Big Data handling – experience with Apache Spark, Dask, Kafka, or similar is a plus.
  • Expertise in building APIs (RESTful, GraphQL) and microservices architecture.
  • Familiarity with databases (SQL and NoSQL – PostgreSQL, MongoDB, etc.).
  • Experience with cloud computing (AWS, GCP, Azure) for AI deployments.
  • Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Nice to Have:

  • Experience with vector databases (e.g., Pinecone, Milvus, FAISS, Weaviate).
  • Exposure to NLP techniques and fine-tuning LLMs.
  • Experience with event-driven architectures and real-time data processing.

Job Type: Full-time

Education:

  • Bachelor's (Required)

Experience:

  • Backend development Python (Django, FastAPI, Flask, etc.): 2 years (Required)

Language:

  • English (Required)

Work Location: In person

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