Senior Software Engineer – Full-Stack, AI-Native

Posted 3 days ago

This is a fully remote position, open to applicants in Texas.

πŸ“‹ Description

β€’ Design, develop, and sustain production-ready frontend and backend applications.

β€’ Oversee features from requirements through architecture, development, testing, and deployment phases.

β€’ Create intuitive user interfaces and dependable backend services.

β€’ Construct and maintain APIs, integrations, databases, and application infrastructure.

β€’ Produce clean, maintainable, and well-documented code.

β€’ Leverage modern AI development tools to enhance coding, debugging, testing, and documentation processes.

β€’ Incorporate large language models and AI-driven capabilities into production applications.

β€’ Create AI-enabled workflows and automation functionalities.

β€’ Assess new AI technologies and propose practical applications.

β€’ Uphold engineering quality while boosting development speed.

β€’ Assist in designing a secure, scalable, multi-tenant SaaS platform.

β€’ Make informed decisions regarding performance, reliability, security, and maintainability.

β€’ Develop systems capable of supporting a growing customer base.

β€’ Collaborate on technical architecture and infrastructure choices.

β€’ Identify and resolve technical bottlenecks.

β€’ Take ownership of the quality of delivered features.

β€’ Implement automated testing and engage in code reviews.

β€’ Quickly diagnose and fix production bugs.

β€’ Maintain high standards for security and data integrity.

β€’ Deliver committed work punctually and communicate potential blockers early.

β€’ Work closely with product managers, engineering leadership, and business stakeholders.

β€’ Translate complex business challenges into straightforward technical solutions.

β€’ Challenge unnecessary complexity and suggest improved methodologies.

β€’ Show initiative without requiring detailed instructions.

β€’ Contribute to establishing practical engineering standards as the company grows.


⛳️ Requirements

β€’ 5+ years of professional software engineering experience, including substantial full-stack development experience.

β€’ Proven track record in building and delivering production SaaS applications.

β€’ Strong expertise in TypeScript/JavaScript and modern frontend frameworks like React or Next.js.

β€’ Extensive backend development experience with Node.js, Python, or similar technologies.

β€’ Experience in designing REST APIs, working with relational databases, and building integrations.

β€’ Familiarity with cloud infrastructure including AWS, Azure, or GCP.

β€’ Demonstrated ability to independently manage features from concept through to production.

β€’ Practical experience utilizing AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar solutions.

β€’ Strong understanding of testing, debugging, security, and performance enhancement.

β€’ Experience in fast-paced settings with shifting priorities.

β€’ Excellent problem-solving abilities and communication skills.

β€’ Background in early-stage SaaS startups.

β€’ Experience in creating multi-tenant software platforms.

β€’ Familiarity with integrating LLM APIs, AI agents, or workflow automation.

β€’ Experience in AI orchestration, retrieval-augmented generation (RAG), or tool calling.

β€’ Knowledge of CI/CD pipelines, automated QA, and infrastructure as code.

β€’ Awareness of HIPAA, SOC 2, or other data-security and compliance frameworks.

β€’ Experience in building legal technology, healthcare technology, or other intricate workflow products.

β€’ Experience working directly with founders or small product teams.


🏝️ Benefits

β€’ Meaningful ownership and substantial autonomy.

β€’ Opportunity to shape the architecture and engineering standards of a growing software company.

β€’ Chance to influence the architecture, product, and engineering culture of an emerging AI company.

β€’ Engage in meaningful challenges within the legal sector.

β€’ Small team, large ownership.

β€’ Practical solutions, rapid iteration, and deployment of functional software.

β€’ Opportunity to impact how AI is utilized in real-world legal workflows.

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