Software Engineer, Spec-Driven AI Development | Contract | Remote, MX

Tech Holding
Mexico
RemoteCareer-pivot friendly

Who this role is best for

Geared toward engineers comfortable with spec-driven workflows and AI-assisted coding, with a focus on backend or full-stack development in the security and threat intelligence domain, working remotely from Mexico in a contract role.

Best fit for

  • Candidates experienced in translating product requirements into structured specs for AI agents
    — “Translate product requirements into precise specs, technical plans, and task breakdowns”
  • Individuals who have integrated AI coding agents into their daily development process
    — “Hands-on experience using AI coding agents as a core part of your daily development workflow”
  • Engineers with a strong background in backend or full-stack development, particularly with Python, TypeScript, or Go
    — “Strong in at least one of: Backend: Python, TypeScript/Node.js, or Go, plus REST APIs and SQL databases”

Things to consider

  • The role requires a high level of written communication, especially for specs and documentation
    — “Excellent written and spoken English, especially strong written communication for specs and documentation”

How to stand out

  • Highlight your experience with spec-driven development and AI coding agent integration in your resume
    — “Practical experience with spec-driven development: writing specs, plans, or structured requirements”
  • Demonstrate your ability to define acceptance criteria and automated tests upfront
    — “Define acceptance criteria and automated tests up front so AI-generated code is checked against the spec”
  • Showcase your experience with cloud deployment platforms like AWS, GCP, or Azure
    — “Experience deploying to a cloud platform (AWS, GCP, or Azure)”
  • Emphasize your background in building secure, high-performance systems
    — “Review AI-generated and human-written code for correctness, security, performance, and maintainability”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • AI-generated code quality
  • spec-driven workflow improvement
  • team collaboration
Typical background
software engineerAI-assisted development

Skills & requirements

Required

Spec-driven DevelopmentAI Coding AgentsBackend ServicesApisSQL DatabasesTesting DisciplineGit-based WorkflowsCloud Deployment

Preferred

Llm-powered Product FeaturesAI Development ToolingData-heavy PlatformsInfrastructure As Code

Stack & domain

AI Coding AgentsSpec-driven DevelopmentPythonTypeScriptNode.jsGoREST ApisSQL DatabasesReactGitCI/CDCloud PlatformsDockerKubernetesInfrastructure As CodeLlm-powered Product FeaturesRAGAgentsTool CallingAI Development ToolingMCP ServersAgent Rules FilesShared Prompt LibrariesData-heavy Or Saas PlatformsSecurityThreat IntelligenceTrust And SafetyCollaborationCommunicationProblem SolvingTeamworkDocumentationTrainingAISoftware EngineeringCloudDevOps

About the role

Original posting from Tech Holding via Greenhouse

About us:

Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.  Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

The Role:

We’re looking for a Software Engineer in Mexico to help build an AI-powered risk intelligence platform. The platform helps enterprises detect and respond to emerging online threats. The team builds software with a spec-driven, AI-assisted workflow: engineers write clear specifications, plans, and acceptance criteria, then direct AI coding agents to implement, test, and refine the code. This is a hands-on individual-contributor role. You’ll own features end to end and help the team improve how it ships with AI.

Key Responsibilities:

Translate product requirements into precise specs, technical plans, and task breakdowns that AI coding agents can carry out reliably

Use AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot, or Kiro) to implement features, then review, test, and refine the code they produce

Own features end to end across backend services, APIs, and integrations, from spec through to production

Define acceptance criteria and automated tests up front so AI-generated code is checked against the spec

Maintain project context files, coding standards, and reusable prompts and templates that keep agent output consistent

Review AI-generated and human-written code for correctness, security, performance, and maintainability

Improve the team’s spec-driven workflow, tooling, and CI/CD practices, and share what works

Join daily standups and technical discussions with the US-based client team

Requirements:

4+ years of professional software engineering experience building and shipping production applications

Hands-on experience using AI coding agents as a core part of your daily development workflow, not just autocomplete

Practical experience with spec-driven development: writing specs, plans, or structured requirements that guide AI-generated implementation (e.g., GitHub Spec Kit, Kiro, or a similar approach of your own)

Strong in at least one of:

Backend: Python, TypeScript/Node.js, or Go, plus REST APIs and SQL databases

Full stack: the above plus React or a similar modern frontend framework

Strong testing discipline, including unit, integration, and test-first habits that validate AI-generated code

Experience with Git-based workflows, code review, and CI/CD

Experience deploying to a cloud platform (AWS, GCP, or Azure)

Excellent written and spoken English, especially strong written communication for specs and documentation

Nice to have:

Experience building LLM-powered product features, such as RAG, agents, or tool calling

Experience setting up AI development tooling for a team, such as MCP servers, agent rules files, or shared prompt libraries

Experience with data-heavy or SaaS platforms, especially in security, threat intelligence, or trust and safety

Familiarity with Docker, Kubernetes, or infrastructure as code (e.g., Terraform)

Previous experience working with US-based clients or distributed teams

Location: 

Remote, Mexico

Time Zone: 

Must work overlapping hours with US Eastern Time

Employment type:

Contract

#LI-Remote

Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR 

Source: Tech Holding careers (Greenhouse)

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