About R Systems:

R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals.

We Are Great Place to Work® Certified™ in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]!

We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.

Company Link: R Systems | Digital Product Engineering

Position Overview

As a AI Platform Engineer at R Systems, lead the deployment, management, and operational scaling of our enterprise generative AI ecosystem. You will serve as the technical backbone connecting frontier model platforms (Google Gemini Enterprise, Anthropic Claude) with our internal developers, security, and product infrastructure.

Key Responsibilities:

- Platform Rollout & Integration: Lead the design, setup, and deployment of enterprise AI platforms (Gemini Enterprise and Claude via GCP/AWS API environments).
- Enterprise Operations & Reliability: Manage end-to-end platform stability, token routing, rate limits, latency optimization, and infrastructure monitoring (SLAs/SLOs).
- Security, Governance & Cost Control:



Implement robust IAM controls, data loss prevention (DLP), compliance boundaries, and fine-grained cost management/budget tracking across tenant teams.
- Developer Tooling & Enablement: Build SDKs, API gateways, guardrail middleware, and developer self-service workflows to accelerate AI integration across internal teams.

Required Qualifications

- Experience: 3 years in Cloud/Platform Infrastructure (GCP, AWS) with direct experience operationalizing LLM applications or APIs at scale.
- Core Technical Skills:
- Proficiency in Python, Go, or TypeScript for middleware and gateway development.
- Hands-on experience with cloud-native tooling (Terraform, Kubernetes, Docker, Serverless).
- Familiarity with enterprise AI API integration (Google Vertex AI / Gemini Enterprise, Anthropic Claude via Bedrock or API).
- Security & Observability: Understanding of enterprise identity (SSO, OAuth), data privacy standards, and observability tools (Datadog, or native GCP/AWS monitoring).

Preferred Qualifications

- Experience building or managing Enterprise GenAI Gateways (e.g., LiteLLM, custom proxy layer, or LangChain/LlamaIndex enterprise setups).
- Background in FINOps, specifically managing variable API consumption costs for enterprise applications.





Why Join R Systems?

- Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
- Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
- Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading general brands.
- Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
- E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
- Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!

R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.

📌 AI Platform Engineer (Ciudad de México)
🏢 R Systems
📍 Ciudad de México