Role Overview
We are looking for a Senior AI / Python Engineer with 5+ years of experience to build and enhance AI-driven applications and platforms.
This role involves prompt engineering, Python backend development, data handling, and contributing to multiple AI initiatives and proof-of-concepts across the organization.
The ideal candidate is hands-on, comfortable with ambiguity, and enjoys working on real-world problems using AI.
Key Responsibilities
- Design, develop, and maintain Python-based AI applications and services
- Perform prompt engineering and prompt optimization for LLM-based workflows
- Build reliable pipelines for processing unstructured and semi-structured data
- Develop and integrate APIs and backend services supporting AI workflows
- Work with databases and data stores to persist, validate, and analyze AI outputs
- Implement robust error handling, validation, and retry mechanisms
- Collaborate with architects and stakeholders to translate requirements into scalable solutions
- Contribute to AI proof-of-concepts, experiments, and rapid prototypes
- Optimize solutions for performance, reliability, and cost
- Write clean, maintainable, and well-documented code
Required Skills & Experience
- 5+ years of professional experience in Python development
- Strong understanding of AI/ML concepts, especially LLM-based systems
- Experience with prompt engineering and model interaction patterns
- Solid background in backend development and API design
- Experience working with databases (SQL and/or NoSQL)
- Strong problem-solving and debugging skills
- Ability to work independently and take ownership of deliverables
Nice to Have
- Experience building AI-driven or data-intensive systems
- Exposure to cloud-based environments
- Familiarity with asynchronous or distributed processing
- Experience with rapid prototyping and experimentation
- Understanding of evaluation, accuracy, and quality metrics for AI systems
What We’re Looking For
- Someone who can think beyond prompts and build complete systems
- Comfortable working on multiple AI initiatives, not just a single project
- Strong engineering fundamentals with a practical AI mindset
- Bias toward execution and ownership
