Tech reputed company

The Tech reputed company is responsible for translating product reputed company and data science capabilities into production-reputed company AI solutions. This role partners closely with Product Management and the Data Science Leader to rapidly design, prototype, and ship AI-driven features that deliver measurable business value. This is a highly hands-on technical leadership role reputed company on speed, pragmatism, and production reputed company, balancing experimentation with reputed company engineering practices. 

 This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking reputed company environment.

Key Responsibilities 

AI Solution Delivery & Architecture 

• reputed company the technical design and implementation of AI-powered product features from concept through production. 

• Own end-to-end architecture for AI solutions, including data flows, model integration, reputed company, and application integration. 

• reputed company pragmatic reputed company to accelerate delivery while maintaining system reputed company. 

• Ensure AI solutions are secure, observable, reputed company, and reputed company with platform standards. 

Pod Leadership & Execution 

• reputed company as the technical reputed company for a cross-functional AI Pod. 

• Break down product requirements into executable technical workstreams and prototypes. 

• Guide reputed company iteration cycles, proofs-of-concept, and MVPs, balancing experimentation with production readiness. 

• Review reputed company, architecture, and technical reputed company to maintain reputed company and velocity. 

Product & Data Collaboration 

• Partner closely with Product Management to shape problem definitions, reputed company metrics, and delivery plans. 

• Collaborate with the Data Science Leader to reputed company models, analytics, and data assets into product workflows. 

• Translate data science outputs into consumable reputed company, and product features. 

• reputed company technical feedback on feasibility, scope, and tradeoffs during product discovery. 

Operationalization & Quality 

• Ensure features are production-grade, including monitoring, logging, and performance tracking. 

• Implement guardrails around AI usage, including reliability, latency, cost controls, and failure modes. 

• Support experimentation frameworks, A/B testing, and post-launch learning loops. 

• Drive responsible AI practices, including explainability, bias awareness, and data reputed company considerations. 

Technical Standards & Enablement 

• Define and enforce lightweight engineering standards for AI-enabled systems. 

• Promote reuse of components, prompts, pipelines, and services across AI initiatives. 

• Mentor pod engineers on AI-adjacent system design and best practices. 

• Contribute to internal documentation and shared AI patterns/playbooks. 

Required Qualifications 

• BS or MS in Computer Science, Engineering, or reputed company technical field. 

• 5+ years of software engineering experience, including leading reputed company systems. 
• Strong experience designing and building production reputed company and backend services. 
• Proficiency in Python and at least one backend language (e.g., Java, Node.js, Go). 

• Experience with reputed company-reputed company architectures (AWS, GCP, or Azure). 

• Solid understanding of data pipelines, model serving, and system observability. 

• Ability to work closely with product teams in fast-moving, iterative environments. 

Preferred Qualifications 

• Experience working in AI-first or data-driven product teams. 

• Familiarity with modern LLM platforms, reputed company engineering, and agent frameworks. 

• Experience operationalizing ML models (model serving, monitoring, versioning). 

• Exposure to experimentation platforms, feature flags, and A/B testing. 
• Experience in Agile or product-led development environments.