Senior Software Engineer – Full-Stack, AI-Native

Zinda Law Group, PLLC

. Design, build, and maintain production-ready frontend and backend applications .

Posted 11/4/2026full-timeRemote • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in full-stack development, particularly in building and shipping production-ready SaaS applications. Proficient in leveraging AI technologies and modern development tools to enhance coding efficiency and maintain high standards of security and performance.

Highest-signal resume keywords

Full-Stack DevelopmentTypeScript/JavaScript ProficiencyNode.js Backend DevelopmentAI-Assisted Development ToolsCloud Infrastructure Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack DevelopmentTypeScriptJavaScriptReactNext.jsNode.jsPythonREST API DesignRelational DatabasesCI/CD Pipelines

Soft Skills

Problem-SolvingCommunicationInitiativeCollaborationAdaptability

Tools & Technologies

AWSAzureGCPCursorClaude CodeGitHub CopilotAutomated QAInfrastructure as CodeAI OrchestrationRAG

Industry Keywords

SaaS ApplicationsMulti-Tenant SoftwareData SecurityHIPAASOC 2Legal TechnologyHealthcare TechnologyWorkflow AutomationEarly-Stage StartupTechnical Architecture

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaScriptNext.jsNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Design, build, and maintain production-ready frontend and backend applications
Take features from requirements through architecture, development, testing, and deployment
Develop intuitive interfaces and reliable backend services
Build and maintain APIs, integrations, databases, and application infrastructure
Write clean, maintainable, well-documented code
Use modern AI development tools to accelerate coding, debugging, testing, and documentation
Integrate large language models and AI-powered capabilities into production applications
Develop AI-powered workflows and automation features
Evaluate new AI technologies and recommend practical applications
Maintain engineering quality while increasing development velocity
Help design a secure, scalable, multi-tenant SaaS platform
Make decisions around performance, reliability, security, and maintainability
Build systems that can support a growing customer base
Collaborate on technical architecture and infrastructure decisions
Identify and eliminate technical bottlenecks
Own the quality of delivered features
Implement automated testing and participate in code reviews
Diagnose and resolve production bugs quickly
Maintain high standards for security and data integrity
Deliver committed work on time and communicate blockers early
Work closely with product managers, engineering leadership, and business stakeholders
Translate complex business problems into simple technical solutions
Challenge unnecessary complexity and recommend better approaches
Take initiative without waiting for detailed instructions
Help establish practical engineering standards as the company scales

Requirements

What you’ll need

5+ years of professional software engineering experience, including significant full-stack development experience
Proven experience building and shipping production SaaS applications
Strong proficiency in TypeScript/JavaScript and modern frontend frameworks such as React or Next.js
Strong backend development experience using Node.js, Python, or comparable technologies
Experience designing REST APIs, working with relational databases, and building integrations
Experience with cloud infrastructure such as AWS, Azure, or GCP
Demonstrated ability to independently own features from concept through production
Hands-on experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or comparable solutions
Strong understanding of testing, debugging, security, and performance optimization
Experience working in fast-paced environments with changing priorities
Excellent problem-solving and communication skills
Experience working at an early-stage SaaS startup
Experience building multi-tenant software platforms
Experience integrating LLM APIs, AI agents, or workflow automation
Experience with AI orchestration, retrieval-augmented generation (RAG), or tool calling
Experience with CI/CD pipelines, automated QA, and infrastructure as code
Familiarity with HIPAA, SOC 2, or other data-security and compliance frameworks
Experience building legal technology, healthcare technology, or other complex workflow products
Experience working directly with founders or small product teams

Benefits

Comp & perks

Meaningful ownership and significant autonomy
Opportunity to shape the architecture and engineering standards of a growing software company
Opportunity to help shape the architecture, product, and engineering culture of an emerging AI company
Work on meaningful problems in the legal industry
Small team, big ownership
Practical solutions, rapid iteration, and shipping working software
Opportunity to influence how AI is applied to real-world legal workflows