Artificial Intelligence Engineer

<u>Position Overview</u>
We are seeking a highly skilled Full Stack Developer with 4+ years of professional experience to join our growing team. The ideal candidate will have strong expertise in both front-end and back-end development, particularly in building Python-based REST APIs using Django, Flask, or FastAPI. This role also involves working with Large Language Models (LLMs), vector databases, and cloud-based deployments to support AI-driven applications.
<u>Key Responsibilities</u>

• Design, develop, test, and maintain scalable web applications using Python REST APIs (Django, Flask, or FastAPI).
• Develop and manage relational database architectures using PostgreSQL or MySQL, including schema design and query optimization.
• Integrate Large Language Models (LLMs) into applications, including fine-tuning and customization for specific business use cases.
• Write efficient, structured, and context-aware prompts to maximize LLM output quality and application performance.
• Deploy, monitor, and manage applications on AWS EC2 and related cloud services.
• Work with vector databases such as Pinecone or FAISS for efficient storage and retrieval of embeddings and high-dimensional data.
• Collaborate with cross-functional teams (product, design, AI/ML, and QA) to gather requirements and deliver high-quality solutions.
• Troubleshoot, debug, and resolve technical issues across the application stack.
• Follow best practices in code quality, security, scalability, and performance optimization.

<u>Qualifications</u>

• 4+ years of professional experience in Full Stack Development.
• Strong proficiency in building RESTful APIs using Django, Flask, or FastAPI.
• Solid experience with PostgreSQL or MySQL, including relational database design.
• Hands-on experience with LLM integration, fine-tuning, and prompt engineering for AI/ML-driven applications.
• Demonstrated expertise in writing efficient, structured, and context-aware prompts to maximize LLM output quality.
• Experience deploying and managing applications on AWS EC2.
• Practical experience with vector databases such as Pinecone or FAISS.
• Strong understanding of web development best practices, including responsive design, Git version control, and CI/CD pipelines.
• Familiarity with Docker or other containerization technologies is a plus.
• Excellent problem-solving skills with the ability to work independently and collaboratively.
• Strong communication skills and a team-oriented mindset.