Role:Technical Lead – Applied AI Scrum TeamLocation:Mexico City (Hybrid – 3 days in office)
Employment Type:Full-Time
Reports to:Applied AI Engineering LeadershipExperience
10+ years in software engineering, incl.
2+ years in a technical leadership roleRole Summary
The Technical Lead owns the tactical technical decisions for the team and is the hands-on anchor for architecture, code quality and delivery.
This person sets the technical direction, unblocks the team, and ensures the product is built to scale across markets on a cloud-agnostic platform.Key Responsibilities
Make day-to-day tactical technical decisions and drive architecture for the Virtual C-Suite product.
Lead design and hands-on development of scalable microservices in Java / Spring Boot and AI capabilities in Python.
Own engineering quality – design reviews, code reviews, coding standards, and technical debt management.
Guide integration of Azure AI Foundry / LLM models (Claude, GPT-4.1, Mistral) into product workflows.
Ensure robust CI/CD, observability and Kubernetes-based deployment across Azure (and emerging AWS) environments.
Mentor senior SDEs and QE, and collaborate with the TPM on roadmap, estimates and exit criteria.




Champion autonomy – enable the team to independently plan and deliver roadmap priorities.Must-Have Skills
Strong hands-on Java / Spring Boot; solid Python for AI/LLM integration.
Microservices, REST APIs, event-driven design; No SQL / document databases.
Cloud-native engineering on Azure (AWS a strong plus); Kubernetes and CI/CD pipelines.
Proven experience taking products from concept to production at scale.
Excellent technical judgement, communication and mentoring ability.Nice to Have
Experience building agentic / Gen AI applications and RAG pipelines.
Databricks and data-platform experience; fintech / payments domain exposure.
Comfortable operating in a fully autonomous team that owns delivery end-to-end.
Strong fundamentals in the relevant discipline and a good culture fit – collaborative, ownership-driven and outcome-focused.
Able to work in a cloud-agnostic environment (Azure today, expanding to AWS).
Hybrid working – 3 days per week from the Mexico City office, with emphasis on in-person collaboration during the early build phase.
Clear communication and the ability to move fast without compromising engineering quality.

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