We are seeking a Senior GenAI & ML Platform Engineer to help design, build, and scale next-generation AI and machine learning platform capabilities. This role will focus on expanding GenAI platform functionality, enabling multi-LLM orchestration, improving prompt lifecycle management, and supporting enterprise-grade ML data pipelines with strong security and governance standards.
**About First Factory**
We are a software development company with over two decades of experience, boasting a dynamic team of 175+ professionals actively engaged in diverse projects across various industries. We invite you to join us on this journey as we thrive and embrace fresh challenges.
**Key Responsibilities**
**GenAI Platform & Agent Systems**
- Design and implement Prompt Catalog Management systems to support structured storage, retrieval, optimization, and reuse of prompts.
- Expand Agent Platform capabilities, including multi-LLM orchestration, workflow automation, and third-party system integrations.
- Develop GenAI engagement features such as gamification elements, personalization logic, and user interaction tracking.
- Support migration from OpenAI to Amazon Bedrock, ensuring compatibility, scalability, and enterprise security compliance.
**ML & Data Platform Engineering**
- Contribute to the Data and ML Platform migration, ensuring stability, backward compatibility, and operational resilience.
- Build and maintain Golden ML Pipelines to standardize ingestion, processing, training, and deployment workflows.
- Implement best practices for ML lifecycle management, automation, and platform reliability.
- Support N-2 version compatibility across cloud services such as EMR Serverless, Lambda, and S3.
- Improve on-call readiness through documentation, incident playbooks, and operational runbooks.
**Security, Governance & Reliability**
- Embed data security, encryption, access control, and compliance monitoring across AI and ML pipelines.
- Monitor platform performance, troubleshoot failures,



and improve observability and system reliability.
**Collaboration & Engineering Excellence**
- Partner with product, data, ML, and platform teams to align technical execution with business goals.
- Contribute to architecture decisions, system design discussions, and technical planning.
- Maintain clean, scalable, and well-documented codebases following best engineering practices.
- Support peer code reviews, knowledge sharing, and continuous improvement initiatives.
**Requirements**:
- Strong experience with TypeScript and Python in production environments.
- Hands-on experience with GenAI technologies, LLM orchestration, and frameworks such as LangChain.
- Experience working with cloud-native architectures, preferably on AWS.
- Familiarity with Amazon Bedrock or similar managed AI platforms.
- Experience building ML pipelines, data workflows, or model deployment systems.
- Working knowledge of Java.
- Experience with serverless or cloud services such as Lambda, S3, and EMR Serverless.
- Strong understanding of distributed systems, APIs, and backend services.
- Experience implementing secure data pipelines, encryption, access controls, and compliance-aware workflows.
- Familiarity with ML lifecycle management, CI/CD, and automation pipelines.
- Experience supporting platform migrations, versioning strategies, and backward compatibility.
- Strong debugging, performance optimization, and reliability engineering skills.
- Strong problem-solving and system design capabilities.
- Ability to work across AI, ML, data, and platform engineering domains.
- Comfortable collaborating with cross-functional stakeholders in fast-paced environments.
- Excellent written and verbal English communication skills.
**Nice to have**
- Experience with multi-LLM orchestration or AI agent platforms.
- Experience with ML governance, model monitoring, or experiment tracking.
- Exposure to GenAI product features, such as personalization, gamification, or user engagement analytics.
- Experience working in enterprise-scale cloud or regulated environments.

📌 Senior Genai Engineer (Ciudad de México)
🏢 First Factory
📍 Ciudad de México