Python Developer
1 week ago
Role Overview
We are looking for an experienced Python Developer with strong hands-on expertise in software development, cloud platforms, and AI orchestration tools. The ideal candidate should have a solid understanding of software engineering principles, experience working on real-world projects, and be comfortable building, deploying, and maintaining scalable applications using modern cloud and AI frameworks.
- Design, develop, and maintain scalable applications using Python and relevant frameworks.
- Build and optimize solutions integrating cloud services such as AWS, Azure, or GCP.
- Develop and implement CI/CD pipelines for automated builds, testing, and deployments.
- Work with Docker and Kubernetes to containerize and orchestrate applications.
- Implement LangChain and LangGraph workflows to build intelligent systems using LLMs.
- Apply prompt engineering and fine-tuning techniques to enhance model outputs.
- Collaborate with cross-functional teams to architect, test, and deploy cloud-based ML solutions.
- Work with version control tools (GitLab, GitHub) and follow agile development practices.
- Troubleshoot issues, optimize performance, and ensure reliability in production environments.
- Proficiency in Python with a strong grasp of libraries such as Pandas, NumPy, FastAPI, Flask, TensorFlow, or PyTorch.
- Strong understanding of software programming principles and object-oriented design .
- Experience with CI/CD tools (e.g., GitLab CI/CD, Jenkins, TeamCity).
- Practical experience with Docker , Kubernetes , and cloud services (AWS, Azure, or GCP).
- Familiarity with LangChain , LangGraph , and LLM orchestration frameworks .
- Working knowledge of databases (SQL/NoSQL) and cloud data storage solutions.
- Understanding of prompt engineering , multi-agent systems, and AI workflow integration.
- Good knowledge of Azure ML or equivalent cloud-based machine learning environments.
- Experience deploying machine learning models or AI agents in production.
- Hands-on experience integrating APIs or third-party AI services.
- Exposure to microservices architecture and serverless applications .
- Familiarity with monitoring tools and performance tuning in cloud environments.
Interested applicants may send their CV directly to - for consideration.
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