Senior AI Engineer

KMS Technology, Inc.

Senior AI Engineer at KMS Technology Mexico designing and deploying AI-driven applications. Focus on scalable AI solutions and collaboration with cross-functional teams.

Posted 8/1/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-powered applications using Large Language Models and Agentic AI solutions. Proficient in integrating AI capabilities with enterprise systems and applying Spec-Driven Development methodologies to enhance software quality and maintainability.

Highest-signal resume keywords

Large Language ModelsAgentic AI SolutionsAI Agent Orchestration WorkflowsSpec-Driven DevelopmentREST APIs Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Powered Application DevelopmentAI Model Evaluation and OptimizationSoftware Design and ArchitectureProblem-Solving SkillsAI-Driven Software Development Lifecycle

Soft Skills

Excellent CommunicationCollaboration SkillsCross-Functional Team Experience

Industry Keywords

AI TechnologiesAgile DevelopmentEnterprise ApplicationsBusiness Requirements Translation

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Design, develop, and deploy AI-powered applications using Large Language Models.
Design and implement Agentic AI solutions capable of executing multi-step reasoning and autonomous workflows.
Develop and maintain AI agents and agent orchestration workflows that coordinate multiple tasks, services, and external systems.
Integrate AI capabilities with enterprise applications, APIs, and external services.
Collaborate with product owners and business stakeholders to translate business requirements into scalable AI solutions.
Apply Spec-Driven Development practices to improve solution quality, traceability, and implementation consistency.
Leverage AI-driven software development lifecycle practices to accelerate development, testing, documentation, and delivery.
Evaluate, test, and optimize AI models to improve response quality, reliability, and overall performance.
Participate in architecture discussions and contribute to AI platform and solution design.
Document AI solutions, workflows, and implementation patterns to support long-term maintainability.
Stay current with advancements in AI technologies and recommend opportunities to improve engineering practices.

Requirements

What you’ll need

5+ years of professional software engineering experience, with significant experience developing AI-powered applications.
Strong experience working with Large Language Models and modern AI platforms.
Hands-on experience designing and implementing Agentic AI solutions.
Experience developing and managing AI agent orchestration workflows.
Experience integrating AI applications with REST APIs and enterprise systems.
Experience applying Spec-Driven Development methodologies in software projects.
Familiarity with AI-driven SDLC practices and using AI tools to improve software engineering workflows.
Strong software design, architecture, and problem-solving skills.
Excellent communication and collaboration skills, with experience working in cross-functional teams.
Ability to translate complex business requirements into scalable AI solutions.
Experience working in Agile development environments.

Benefits

Comp & perks

15 days of PTO (in year zero, from the first year onwards it is 3 days per year).
5 days' leave for the death of immediate family members, negotiable.
Major Medical Expenses Insurance with coverage for immediate dependents (spouse and children).
Annual performance bonus (≈10% of annualized salary).
Annual salary adjustment.
Employee Referral Bonus.
Paid Certifications / Courses Coursera License.
5% Savings Fund.
5% Grocery Vouchers.