Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 8+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
Design, develop, maintain, and optimize scalable backend systems and business process automation solutions, including applications that use AI and machine learning capabilities. Troubleshoot and enhance existing applications, deploy solutions with containerization technologies, and document software components.
Job details
Job Description Role: Python Developer with Fast API About the Role We are looking for a motivated and detail-oriented Python developer with 6-8+ years of experience to join our development team. The ideal candidate will contribute to designing, developing and optimizing business process automation solutions and data driven solutions, leveraging cutting-edge AI technologies and modern containerization practices to build scalable and resilient applications. Responsibilities This function covers incumbents responsible for various data and business process automation projects and applications, which includes troubleshooting, enhancements and builds. Design, develop, and maintain robust and scalable backend systems, incorporating AI/ML capabilities (e.g., Retrieval-Augmented Generation, Large Language Model integration, Machine Learning Control Plane) and deploying solutions using containerization technologies. Responsible for routine operational or administrative work. Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area. Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed. Qualifications At least 6-8 years of experience as Python or Backend Developer. Demonstrated proficiency with key Python libraries for backend development, data processing, and AI/ML (e.g., FastAPI/Flask/Django, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, LangChain, LlamaIndex). Exposure in SQL/PL-SQL, RDBMS or any other database systems implementation and query. Experience with AI development frameworks and concepts, including Retrieval-Augmented Generation (RAG), Machine Learning Control Plane (MCP), and Large Language Models (LLMs). Proficiency in containerization technologies such as Docker and orchestration platforms like Kubernetes. Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives. Capable of writing and building components to integrate into new or existing systems. Documentation experience for complex software components. Experience in implementing product lifecycle - design, development, quality, deployment, maintenance. Ready to work within a collaborative environment with teams. Creative thinking for identifying new opportunities.
What you’ll do
Design, develop, maintain, and optimize scalable backend systems and business process automation solutions, including applications that use AI and machine learning capabilities. Troubleshoot and enhance existing applications, deploy solutions with containerization technologies, and document software components.
Requirements
Requires 6–8 or more years of Python or backend development experience, proficiency with Python frameworks and data or AI/ML libraries, and experience with databases, RAG, LLMs, Docker, and Kubernetes. Candidates should be able to integrate components into existing or new systems, document complex software, contribute across the product lifecycle, and work collaboratively.
Listed skills
- Kubernetes · Preferred
- SQL · Preferred
- Docker · Preferred
- Machine learning · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- FastAPI
- Backend Development
- Data Processing
- Artificial Intelligence
- Machine Learning
- Retrieval-Augmented Generation
- Large Language Models
- SQL
- PL/SQL
- Docker
- Kubernetes
- Database Systems
- Software Documentation
- Software Lifecycle Management
- System Integration
Job areas
- Software
- Technology
- Data & Analytics
- Engineering
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