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Zinda Law Group, PLLC

Senior Software Engineer (Full-Stack / AI-Native)

Remote, United States

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Job details

Experience: 5+ years of professional software engineering experience, including significant full-stack development experience.
Posting language: English
Posted: Nov 4, 2026

Original job description

About ZLayt AI

ZLayt AI is building the next generation of AI-powered software for the legal industry.

Our mission is to transform how law firms operate by replacing inefficient, manual processes with intelligent, automated workflows.

We're building a modern, scalable platform that combines legal workflows, automation, and artificial intelligence to help law firms operate faster, smarter, and more efficiently.

We're looking for exceptional engineers who want to build something meaningful from the ground up.

The Opportunity

We're hiring a Senior Software Engineer who is an exceptional individual contributor, enjoys solving difficult technical problems, and knows how to turn ideas into working software quickly.

This is not a role for someone who wants to spend most of their time managing developers, attending meetings, or debating architecture.

We want a builder.

You'll work directly with engineering and product leadership to design, develop, and ship core features of our AI-powered legal technology platform.

You'll have meaningful ownership, significant autonomy, and the opportunity to help shape the architecture and engineering standards of a growing software company.

Our philosophy is simple: Build with a small team of exceptional engineers, leverage AI aggressively, and ship great software quickly.

What You'll Own

Full-Stack Product Development

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.

AI-Native Engineering

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.

Architecture and Scalability

Help design a secure, scalable, multi-tenant SaaS platform.
Make thoughtful 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.

Quality and Execution

Own the quality of the features you deliver.
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.

Startup Collaboration

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.

Must-Have Qualifications

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.

Strongly Preferred

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.

Who Thrives Here

You're likely a great fit if you:

Love building software more than talking about building software.
Are naturally curious about AI and use it regularly.
Prefer ownership and accountability over layers of management.
Can make pragmatic technical decisions without overengineering.
Enjoy working with talented people in a small team.
Move quickly while maintaining high standards.
Are excited about building a product from an early stage.
Want your contributions to have a direct impact on the success of the company.

Why Join ZLayt AI?

Build something from the ground up. You'll help shape the architecture, product, and engineering culture of an emerging AI company.

Work on meaningful problems. We're tackling complex operational challenges in the legal industry with modern technology.

Small team, big ownership. We believe exceptional engineers equipped with AI can accomplish what previously required much larger teams.

Move fast. We value practical solutions, rapid iteration, and shipping working software.

Help define the future. You'll have the opportunity to influence how AI is applied to real-world legal workflows.

We're looking for engineers who want to do the best work of their careers and help build a category-defining company.

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