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 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 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 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 Experience integrating FastAPI services with frontend applications or other backend 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, including designing and owning API contracts and service reliability.