Top Tech Jobs & Startup Jobs in Mexico City

Evaluate, annotate, and validate AI-generated content (text, audio, images, video) per project guidelines. Identify errors and quality issues, select best outputs, provide written feedback, and complete tasks independently on schedule. Attend training and office hours and follow data privacy and confidentiality rules.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, AI gateway and orchestration capabilities, multi-tenant systems, entitlements, metering, integration frameworks, governed data access, and platform services. The engineer owns services across design, implementation, testing, deployment, monitoring, reliability, and support while collaborating with client product, engineering, data, and platform teams.

Build and operate production AI systems for client organizations, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost and latency optimization. The role turns AI prototypes into reliable, measurable, safe production capabilities while collaborating with product, engineering, platform, and security teams in a client-facing consulting environment.

Designs and secures enterprise AI platform foundations for mission-critical environments. Responsibilities include threat modeling, tenant isolation, identity and authorization architecture, secure CI/CD, compliance-by-design, and securing untrusted code, tools, and agent actions. The role consults with client engineering, product, security, and business stakeholders to deliver reliable, compliant, secure platform capabilities.

Own LanceDB’s product direction by shaping the roadmap with technical leadership, researching users and competitors, gathering continuous user insight, and driving cross-functional prioritization. The role partners closely with engineering as a technically respected peer, defines product changes for AI and data-platform users, uses metrics and experiments to guide decisions, and operates with high ownership in an ambiguous environment.

Leads program controls for projects and programs, including planning and scheduling, cost and budget management, risk mitigation, performance reporting, and compliance. Partners with cross-functional stakeholders to ensure timely, on-budget delivery and adherence to project management standards. The role also involves analyzing project metrics, recommending improvements, and supporting effective team collaboration in a hybrid Mexico City environment.

Manage business operations for a remote startup by maintaining SOPs and documentation, coordinating workflows and deadlines, administering vendors and software renewals, supporting recruitment and onboarding, tracking training compliance, facilitating team culture and communications, handling customer support, and coordinating virtual events and travel.

Design and deliver production-grade applied AI solutions (LLM workflows, RAG, agentic automation). Lead client discovery, define specs for prompt engineering, measure model quality/ROI, advise on data and safe deployment, and contribute reusable AI assets.

Design, build, test, and iterate prompts and prompt chains for production LLM workflows. Implement evaluation harnesses, guardrails, and regression tests. Integrate LLM components with APIs, RAG pipelines, and structured outputs. Tune for accuracy, cost, latency, and safety. Partner with AI Specialists, document reusable patterns, and grow a library of AI accelerators.

Investigate fraud, transaction, credit, and dispute cases; resolve sensitive escalations across multiple channels; execute account actions using backend tools; maintain SOPs, job aids, macros, and workflows; conduct QA reviews; document cases for auditability; analyze metrics; identify process improvements and automation opportunities; and partner with Compliance, Legal, Product, Engineering, and support teams.

Supports research and analysis initiatives by helping organizations use data, insights, and advanced analytics to improve strategy, customer and employee experiences, brand performance, and financial outcomes.

Conduct research and analyze data to generate actionable insights for clients. Collaborate with research, methodological, subject-matter, and analytics experts to support corporate strategy, operational excellence, customer experience, employee experience, brand, and financial outcomes.

Leads the design and delivery of healthcare data architectures and pipelines using Snowflake, dbt, Azure, Python, and SQL. Models EHR, claims, clinical, laboratory, pharmacy, and operational data; oversees discovery through production support; facilitates stakeholder workshops; and ensures privacy, security, regulatory compliance, data quality, and reporting accuracy. Leads technical teams and applies AI tools to improve development, testing, documentation, and governance.

Analyze large marketing datasets using R, SQL, and Python to identify performance insights, forecast results, and recommend measurement strategies. The role supports statistical modeling, experiment design, customer analysis, attribution measurement, data visualization, and marketing campaign optimization. It requires clear communication of findings, collaboration through Asana, use of AI and proprietary tools, and strong understanding of data infrastructure and statistical limitations.

Build and maintain automated marketing performance reports, analyze campaign data across major digital platforms, conduct deep-dive analyses, and identify optimization opportunities. Create data-driven presentations and visualizations, translate complex findings into actionable client recommendations, and improve reporting systems using AI and proprietary tools. The role requires strong marketing analytics, data storytelling, client communication, and advanced spreadsheet skills.

Own day-to-day strategic relationships for CPG clients across DTC, retail media, and Amazon ecosystems. Lead client calls, develop performance narratives, identify cross-channel growth opportunities, coordinate paid, SEO, content, influencer, and creative teams, and advise on channel mix and investment allocation. Support quarterly strategy, renewals, and service expansion while driving client retention, revenue growth, and team development.