Senior Software Enginner (AI/ML)

Senior Software Engineer AI/ML 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 Were 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 Senior Software Engineer AI/ML 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 Were 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