Artificial Intelligence Engineer (Python & LLM Integration)

Position Overview

Full Stack Developer

Key Responsibilities

• 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.

Qualifications

• 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.