Full stack AI Developer

Employment Type: Full-Time

Experience Required: 4–6 years of professional software development experience, including hands-on experience building AI-powered applications.

Role Overview

In this role, you will build scalable APIs, responsive web applications, Retrieval-Augmented Generation (RAG) solutions, AI agents, tool-calling integrations, and workflow automations that seamlessly connect AI models with business systems, databases, and external APIs.

Key Responsibilities

• Design, develop, and maintain full-stack web applications using .NET, C#, React.js, Next.js, and Node.js.
• Build secure, scalable RESTful APIs and backend services for AI-powered applications and third-party integrations.
• Develop LLM-powered solutions using Retrieval-Augmented Generation (RAG), embeddings, vector search, and business knowledge sources.
• Design AI agents capable of handling complex requests, retrieving information, utilizing external tools, and executing multi-step workflows.
• Implement tool/function calling to integrate AI models with APIs, databases, CRM platforms, and external services.
• Build document-based AI assistants capable of processing and retrieving information from PDFs and other business documents.
• Develop and maintain workflow automation solutions using n8n or similar platforms.
• Create responsive, intuitive, and high-performance user interfaces using React.js or Next.js.
• Design and optimize database structures, SQL queries, stored procedures, and data-access layers.
• Integrate applications with SQL Server, PostgreSQL, Cosmos DB, Supabase, or similar databases.
• Implement security, authentication, authorization, logging, monitoring, and error handling best practices.
• Optimize application performance, scalability, reliability, and AI response quality.
• Collaborate with product managers, developers, QA engineers, and business stakeholders to deliver scalable technical solutions.
• Participate in Agile development, code reviews, testing, deployment, and production support.
• Maintain technical documentation for system architecture, APIs, AI workflows, prompts, integrations, and deployment processes.

Required Technical Skills

Strong proficiency in C# and the .NET ecosystem, including:

• Web APIs
• MVC/MVVM
• Entity Framework or Dapper
• Experience with Next.js, Node.js, or similar modern web technologies.
• Practical experience integrating Large Language Models (LLMs) using platforms such as OpenAI.

Strong understanding of:

• AI Agents
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Vector Databases
• Tool & Function Calling
• Prompt Engineering
• Experience integrating AI applications with external APIs, databases, and business systems.
• Experience building workflow automations using n8n or similar platforms.
• Strong SQL expertise, including query optimization and stored procedure development.
• Experience with SQL Server and at least one additional database platform such as PostgreSQL, Cosmos DB, or Supabase.
• Proficiency with Git and modern version control practices.
• Understanding of application deployment, environment configuration, debugging, and production support.

Preferred Skills:

• Experience developing document-based chatbots or AI knowledge assistants.
• Experience building AI-powered workflow automation platforms.
• Familiarity with GoHighLevel, CRM integrations, or business automation platforms.
• Experience with Azure DevOps, AWS CodeCommit, Vercel, Cloudways, or similar deployment platforms.
• Experience with PowerShell or other automation scripting tools.
• Understanding of AI response evaluation, hallucination reduction, retrieval optimization, and prompt engineering.
• Familiarity with secure handling of sensitive business information.
• Experience working on legal-tech, business automation, reservation, onboarding, or case-management applications.

Education and Experience

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Minimum 4 years of professional software development experience.
• Hands-on experience building and deploying production-grade AI or LLM-powered applications.
• A portfolio showcasing AI applications, workflow automations, or API-driven platforms will be considered a strong advantage.

Core Competencies

• Strong problem-solving and analytical skills.
• Ability to independently manage features from requirements through deployment.
• Ability to translate business requirements into scalable technical solutions.
• Strong ownership, accountability, and attention to detail.
• Excellent communication and collaboration skills.
• Passion for learning emerging AI frameworks, tools, and technologies.
• Ability to balance rapid AI innovation with software engineering best practices.

Success in This Role

The successful candidate will deliver reliable, secure, and scalable AI-powered applications that combine modern full-stack development with practical AI capabilities. Success will be measured by solution quality, delivery reliability, AI response accuracy, system performance, maintainability, and the business value generated through automation.