Top Software Engineer Jobs in Mexico

Design and build scalable, production-grade AI-enabled and agentic applications and platforms. Implement architectures, CI/CD, testing, observability, and secure, reliable distributed systems while improving engineering productivity via AI-assisted workflows.

Design, build, and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Collaborate with ML, product, and front-end teams to ship AI-powered features, evolve infrastructure as code for high availability, mentor junior engineers, and contribute to documentation, testing, and reliability across the Superhuman product suite.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Build and evolve Circle Discover marketplace features: high-converting purchasing flows, algorithmic recommendations, content feeds, and listings. Work across a Ruby on Rails backend and React/Next.js front-ends, optimize performance and SSR/SSG, collaborate with designers and leaders, and improve codebase quality while shipping at pace in a distributed remote team.

Develop and optimize Crunchyroll's Android video player library: implement features in Kotlin, identify and fix performance bottlenecks, participate in design and code reviews, collaborate with product/PM/QA, and research streaming technologies to improve scalability and user experience.

Build and maintain Crunchyroll's web application using JavaScript/TypeScript. Own feature delivery from design to release, improve performance and reliability, participate in on-call/incident response, collaborate with product and design, drive engineering best practices, mentor junior engineers, and address technical debt.

Build and improve the Crunchyroll web application using JavaScript and TypeScript. Own feature delivery from design through release, optimize performance and reliability, participate in on-call rotations and incident response, collaborate with product, design, and platform teams, contribute to engineering best practices, and mentor junior engineers.

Design, automate, and execute tests across web and mobile platforms; perform API, integration, and performance testing; track and prioritize defects; improve QA strategy and automation frameworks; mentor teammates and leverage AI-powered tools to enhance QA workflows and reliability.

Design and implement features using Ruby on Rails and React; build REST APIs and microservices; optimize MySQL performance; participate in code reviews; collaborate with Product, Design, Support; scale the platform and leverage AI-assisted tools like Claude Code.

Design, implement, and optimize scalable web and distributed services. Build new features and improve existing ones, collaborate with product and ops, follow Agile processes, and mentor teammates to deliver high-performance SaaS solutions.

Develop, design, and troubleshoot software components as part of an agile team. Write secure, high-quality code, apply SDLC and automation tools, analyze data to identify issues, and contribute to system stability and scalability while learning cloud, AI/ML, and mobile technologies.

The Sr. Software Engineer will develop and support features for the AlertMedia product suite, focusing on scalable web applications and collaborative environments. Responsibilities include using modern web technologies, AI tools, and Agile methodologies to enhance product quality and team productivity.

Lead hands-on design and delivery of production-ready agentic AI applications and platform capabilities. Drive architecture, SDLC best practices, observability, security, and automation. Collaborate with Applied AI, Product, and Platform teams to move projects from prototype to governed production while mentoring engineers and improving developer productivity using AI-enabled tooling.

Design and build scalable, production-grade AI-enabled and agentic applications and developer platforms. Own architecture, coding, testing, CI/CD, observability, security, and operational readiness. Integrate AI tools and workflows to improve engineering productivity and take AI solutions from prototype to production.

Lead a team of developers on diverse technology projects, building full-stack cloud-based solutions, collaborating with product managers, and mentoring team members.

Join a small cross-functional team to design, build, and operate an LLM-powered agent platform: orchestration, tool integrations, APIs, knowledge/memory infrastructure, trust & safety, evaluation/testing, and partner with Operations to translate workflows into automation. Mentor other engineers and deliver production-ready systems.

As a Sr. Lead AI Engineer, you will develop the agent harness for supplier agents, focusing on platform design and cloud infrastructure deployment while collaborating with product and engineering teams.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Develop and support software features per team guidance; analyze requirements, design system specifications, document solutions, follow SDLC, and maintain/upskill using current development tools.

Build and scale high-performance, reusable web applications and UI components using TypeScript, React, and Next.js. Implement and maintain backend services and APIs, design client-server contracts (HTTP, GraphQL, gRPC), write unit tests, participate in code reviews, and collaborate with cross-functional teams. Required to work hybrid in Mexico City (3 days/week).

Build and maintain backend features, distributed systems, APIs, and scalable data pipelines. Ensure data reliability, performance, testing, observability, and operational readiness. Collaborate with product and engineering, apply AI-assisted workflows responsibly, and evolve architecture, documentation, and engineering best practices.

Design, build, and maintain scalable authorization infrastructure (libraries, frameworks, services). Work with product and infra teams to deliver policy-driven access controls, observability, and governance. Help users adopt solutions, enable access visibility, and support continuous policy enforcement to protect resources and ensure compliance.

Design, develop, and maintain Java backend microservices and RESTful APIs. Integrate relational and NoSQL databases, implement data access via Hibernate/JPA, write unit and API tests, improve CI/CD pipelines, apply security best practices, perform profiling and production troubleshooting, and collaborate in Agile teams.

Build production-ready agentic capabilities for a B2B intelligence platform: design single- and multi-agent workflows, implement provider-independent model integrations, create evaluation frameworks for agent behavior and model performance, modernize agent-driven B2B workflows, and contribute to model-governance, tooling, and user integrations while delivering regular releasable increments.

Embedded with strategic customers to design and deliver end-to-end technical solutions. Architect integrations, write production software (primarily Python), collaborate with customer engineers and executives, and own high-impact projects from design through delivery.