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 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
