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AI Full Stack Engineer - Prompt Engineering & Business Applications

Latitude

Latitude

Software Engineering, IT, Data Science
New York, NY, USA
Posted on Feb 23, 2026

ABOUT THE ROLE

We are looking for a versatile AI Full Stack Engineer with strong prompt engineering expertise and a business-oriented mindset to join our team. This role sits at the intersection of software engineering, AI-powered development, and business strategy. You will collaborate directly with business product leaders to design, build, and ship end-to-end web and mobile applications using cutting-edge AI development tools such as Claude Code, GitHub Copilot, Cursor, and similar platforms.

The ideal candidate is not just a technically proficient developer but a strategic thinker who understands how technology translates into business value. You will be responsible for rapidly prototyping, iterating, and delivering production-grade applications that solve real business problems, leveraging AI-assisted coding to dramatically accelerate the development lifecycle.

KEY RESPONSIBILITIES

AI-Powered Full Stack Development

  • Design, develop, and deploy end-to-end web and mobile applications using modern frameworks (React, Next.js, Node.js, Python/Django, or similar).
  • Leverage AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Windsurf, etc.) to accelerate coding, debugging, testing, and deployment workflows.
  • Build responsive, accessible, and performant user interfaces with seamless backend API integrations.
  • Implement cloud-native architectures on Azure, AWS, or GCP with CI/CD pipelines, containerization, and infrastructure-as-code.

Prompt Engineering & AI Integration

  • Craft, optimize, and maintain sophisticated prompts and prompt chains for large language models (LLMs) to power conversational interfaces, automation workflows, and intelligent features.
  • Integrate AI/ML capabilities into applications, including natural language processing, content generation, data extraction, and decision support systems.
  • Evaluate, benchmark, and select appropriate AI models and APIs for specific business use cases.
  • Develop and maintain prompt libraries, templates, and best practices documentation for the engineering team.

Business Collaboration & Product Delivery

  • Partner directly with business product leaders, stakeholders, and cross-functional teams to translate business requirements into technical solutions.
  • Participate in product discovery, roadmap planning, and sprint ceremonies to align engineering output with business objectives.
  • Communicate technical concepts clearly to non-technical stakeholders and provide data-driven recommendations on technology choices.
  • Rapidly prototype and iterate on concepts to validate product-market fit and user experience hypotheses.

Quality, Security & Best Practices

  • Write clean, maintainable, well-documented code with comprehensive test coverage (unit, integration, E2E).
  • Implement security best practices including authentication (OAuth2, SSO), data encryption, and compliance frameworks (SOC 2, GDPR, HIPAA as applicable).
  • Conduct code reviews, mentor junior developers, and contribute to engineering culture and standards.

REQUIRED QUALIFICATIONS

  • Professional full stack software engineering experience with production-grade applications.
  • Strong proficiency in modern frontend frameworks (React, Next.js, Vue.js, or Angular) and backend technologies (Node.js, Python, Java, or Go).
  • Demonstrated experience using AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or similar) in real-world projects.
  • Hands-on experience with prompt engineering, LLM integration, and building AI-powered features in applications.
  • Proficiency with cloud platforms (Azure preferred; AWS/GCP also accepted), including serverless architectures, databases (SQL and NoSQL), and DevOps tooling.
  • Strong understanding of RESTful APIs, GraphQL, microservices, and event-driven architectures.
  • Excellent communication skills with the ability to collaborate effectively with business leaders and translate requirements into technical deliverables.
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

PREFERRED QUALIFICATIONS

  • Experience with Microsoft ecosystem technologies (Azure AI Services, Microsoft Fabric, Power Platform, Copilot Studio).
  • Background in SaaS product development, particularly B2B or enterprise applications.
  • Familiarity with data platforms, ETL pipelines, or Customer Data Platforms (CDPs).
  • Experience with mobile application development (React Native, Flutter, or native iOS/Android).
  • Knowledge of enterprise security standards and compliance frameworks.
  • Prior experience in a startup or high-growth environment with a track record of shipping products rapidly.
  • MBA, product management certification, or equivalent business acumen experience.

TECHNOLOGY STACK

Category

Technologies

Frontend

React, Next.js, TypeScript, Tailwind CSS, HTML5/CSS3

Backend

Node.js, Python, RESTful APIs, GraphQL

Cloud & DevOps

Azure (preferred), AWS/GCP, Docker, Kubernetes, CI/CD

Databases

PostgreSQL, MySQL, Redis, MongoDB

AI/ML Tools

Claude Code, GitHub Copilot, Cursor, OpenAI API, Azure AI

Collaboration

Git, Jira/Linear, Figma, Slack, Confluence

WHAT WE OFFER

  • Competitive salary.
  • Opportunity to work at the forefront of AI-powered software development.
  • Direct impact on product strategy and business outcomes.
  • Flexible hybrid work arrangements.
  • Professional development budget for certifications, conferences, and learning.
  • Collaborative, innovation-driven team culture.
  • Health, dental, and vision benefits with 401(k) matching.

EQUAL OPPORTUNITY STATEMENT

We are an equal opportunity employer committed to building a diverse and inclusive team. We welcome applications from candidates of all backgrounds, experiences, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.