Overview In this role you will lead the development of AI-powered backend systems, building reliable, scalable solutions in a small, skilled team. You will shape architecture and deliver APIs, microservices, and ETL pipelines in cloud environments. You'll drive AI-driven product initiatives, collaborating across engineering, product, and cloud operations to scale LS&H; capabilities.

This is a hands-on leadership position with a strong impact on reliability and product direction in a fast-paced setting.

Compensaciones / Incentivos hybrid work model (office 2-3 days a week)

full-time role

CET core hours with global flexibility collaborative team opportunity to shape AI platform direction

Responsabilidades Scope and shape AI platform initiatives for LS&H; products from concept to implementation

Design, develop, and maintain backend services (APIs, microservices, ETL) in Azure/AWS

Translate needs from multiple teams into high-quality, reliable code and proof-of-concepts

Collaborate with Cloud Operations, Solution Architecture, Product Engineering, and SMEs

Build and iterate LLM-based or agentic AI applications, ensuring reliability and quality

Evaluate integration with applications in other languages (e.g., Java, Typescript)





Lead the technical approach from design through implementation

Test and improve solutions via unit tests, automation, and iterative development

Advance projects from concept to prototype and contribute to production roadmaps

Work in an agile environment and contribute to continuous improvement culture

Requisitos principales Bachelor's degree in computer science, software engineering, or related field, or equivalent experience

At least 7 years of professional software engineering experience

At least 4 years backend experience in Python (APIs, microservices, ETL pipelines)

At least 5 years collaborating in cross-functional, agile teams

At least 3 years working with LLMs or agentic AI applications with awareness of reliability challenges

Experience contributing to or defining software architecture for complex systems

Experience with AI/ML workflows (e.g., RAG, vector databases, evaluation techniques)

Experience in cloud environments (Azure or AWS), including deploying or integrating backend services

Mentoring or providing technical guidance to other engineers (preferred)

collaborative mentoring strong communication

Python backend engineering

Azure / AWS

LLM-based or agentic AI development

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