Senior Software Engineer (Python)

Role Overview

We are looking for a Senior Software Engineer with 5+ years of experience to build and enhance AI-driven applications and platforms.

This role involves prompt engineering, Python backend development (including FastAPI), 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

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• Design, develop, and maintain Python-based AI applications and services, including FastAPI-based microservices and APIs.
• Perform prompt engineering and prompt optimization for LLM-based workflows
• Build reliable pipelines for processing unstructured and semi-structured data
• Develop and integrate RESTful APIs and backend services supporting AI workflows using FastAPI and related tooling.
• Work with databases and data stores to persist, validate, and analyze AI outputs
• Implement robust error handling, validation, and retry mechanisms in API and service layers.
• Collaborate with architects and stakeholders to translate requirements into scalable, performant solutions
• Contribute to AI proof-of-concepts, experiments, and rapid prototypes
• Optimize solutions for performance, reliability, and cost, including async and high-load API patterns.
• Write clean, maintainable, and well-documented code with appropriate API documentation (e.g., OpenAPI/Swagger via FastAPI).

Required Skills & Experience

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• 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, with hands-on experience building production APIs using FastAPI.
• Experience working with databases (SQL and/or NoSQL)
• Familiarity with asynchronous programming patterns and scalable API architectures (as commonly used with FastAPI).
• Strong problem-solving and debugging skills
• Ability to work independently and take ownership of deliverables

Nice to Have

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• Experience building AI-driven or data-intensive systems
• Exposure to cloud-based environments (AWS/GCP/Azure)
• Familiarity with asynchronous or distributed processing (e.g., task queues, event-driven architectures)
• Experience with rapid prototyping and experimentation
• Understanding of evaluation, accuracy, and quality metrics for AI systems