AI Full stack Software Engineer

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., 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.

• 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