AI Full stack Software Engineer

Job Title: AI Full Stack Software Engineer

Location: Remote - Alpharetta, Georgia, United States

Type: Full Time

Our Client is seeking a highly skilled and innovative AI Full Stack Software Engineer to design, build, and deploy end‑to‑end AI‑powered applications. This role will work across the full technology stack—combining modern frontend development, backend services, and advanced AI/LLM integrations—to drive next‑generation solutions in a dynamic environment.

Key Responsibilities

Full Stack Development & AI Integration

• Design and develop scalable, enterprise‑grade applications integrating advanced AI capabilities.
• Build solutions incorporating LLMs, voice recognition, image processing, document parsing, and text‑to‑speech technologies.
• Develop and maintain both frontend user interfaces and backend services that support AI‑driven workflows.

AI Systems & Model Engineering

• Build and optimize RAG (Retrieval‑Augmented Generation) pipelines using vector databases and modern frameworks.
• Fine‑tune and deploy AI models (e.g., GPT, LLaMA) for production use cases.
• Develop AI agents and automation workflows using modern frameworks and tools.
• Design effective prompts, manage prompt libraries, and optimize LLM performance and cost efficiency.

Data & Platform Engineering

• Design and optimize data pipelines to support AI training, testing, and inference workflows.
• Ensure efficient data management, scalability, and model evaluation using industry‑standard metrics (precision, recall, etc.).
• Implement MLOps best practices for reliable and scalable AI deployment.

Collaboration & Communication

• Work closely with product, engineering, and business teams to translate requirements into technical solutions.
• Communicate complex AI concepts to non‑technical stakeholders.
• Collaborate across teams to deliver innovative, high‑impact projects.

Documentation & Continuous Improvement

• Maintain thorough documentation at both the application and code level.
• Stay current with emerging AI technologies and continuously improve system performance and design.

Qualifications

Required

• Bachelor’s degree in Computer Science or related field (or equivalent experience)
• 4+ years of experience in software development and AI‑enabled applications
• Strong programming skills in Python and AI frameworks (e.g., PyTorch, TensorFlow)
• Hands‑on experience with LLMs and AI integrations

Key Technical Skills

• LLM Development: Prompt engineering, fine‑tuning, and optimization
• RAG Systems: Experience with LangChain, LlamaIndex, and vector databases
• AI/ML Concepts: Model evaluation metrics, performance tuning, and MLOps practices
• Backend Development: APIs, microservices, and system integration
• Cloud Platforms: AWS, Azure, or GCP (preferred)
• DevOps Tools: Git, Docker, Kubernetes

Preferred Qualifications

• Experience building Node.js applications (e.g., Express.js)
• Familiarity with AI coding tools (GitHub Copilot, Cursor, Codeium, etc.)
• Experience in regulated industries such as healthcare
• Strong analytical and problem‑solving abilities

Core Competencies

• Full Stack Development
• AI/LLM Integration & Optimization
• Data Engineering & MLOps
• Problem Solving & Innovation
• Cross‑Functional Collaboration