
Python Developer
2 weeks ago
he Role:
We are looking for a
Senior Python Engineer
to join our engineering team and play a key role in building scalable backend systems that power AI-driven products. You will work at the intersection of Generative AI models and backend development — supporting everything from model integration to building robust APIs, pipelines, and infrastructure. This role is ideal for someone who has a strong foundation in Python and backend architecture, along with hands-on experience in deploying and managing generative AI models in production.
The Location:
G-8/1,
Islamabad
Key Responsibilities
- Design, develop, and maintain Python-based backend services to support AI applications.
- Collaborate with AI/ML engineers and data scientists to integrate models into production systems.
- Build scalable and efficient RESTful APIs and microservices to expose AI functionalities.
- Manage data pipelines for training, inference, logging, and monitoring.
- Implement model serving solutions using frameworks like FastAPI, Flask, Django.
- Ensure security, performance, and scalability of AI-backed services.
- Handle deployment using Docker, Kubernetes, and CI/CD pipelines.
- Write clean, maintainable code and participate in code reviews.
- Work with cloud services (AWS, GCP, Azure) to manage compute, storage, and networking for AI workloads.
Basic Qualifications:
We are looking for candidates with 3+ years of experience having the following skill set:
- Strong programming skills in Python. Extensive experience in back-end development Python frameworks (i.e., FAST API, Flask, Django) is a must.
- Strong Knowledge of databases (SQL, NoSQL), caching, and message queues (e.g., Redis, RabbitMQ, Kafka).
- Experience with model serving, APIs, and backend architecture.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Experience working with cloud platforms (AWS, GCP, or Azure).
- Experience with Lang-chain, RAG pipeline, Vector Database and open source LLMs Model and their applications.
- Experience with machine learning frameworks like Tensor-flow/PyTorch
- Experience with common data science libraries like NumPy, pandas and Scikit learn.
- Strong communication skills and excellent team play.
Educational Qualifications:
Bachelor's or master's degree in computer science, Computer Engineering, or related discipline. The candidates currently pursuing part-time master's degree in data science can also apply.
Deadline:
We have multiple open positions and candidates will be interviewed and selected on rolling basis.
Important Note:
Please send your CVs to
. Our job selection process is extremely competitive. We do not reply to the application emails, and we only get back to the candidates selected for the interview process. Salaries are extremely competitive, and the work environment is exemplary Best of luck
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