LLM Engineer

Job Role: LLM Engineer

Experience: 5+ Years

Location: Chennai (Hybrid/Remote)

Key Skills: Python, LLM

The Role

LLM Engineer

Key Responsibilities

• Design, develop, and maintain backend services for our LLM-based automation platform.
• Integrate LLMs and vector databases into the application workflow.
• Implement secure authentication and authorization mechanisms (OAuth 2.0, RBAC, JWT).
• Build efficient database models and queries for complex data handling.
• Develop and document RESTful APIs following best practices.
• Optimize application performance, scalability, and responsiveness.
• Implement robust error handling, monitoring, and logging mechanisms.
• Collaborate with cross-functional teams (frontend, ML, product) to ensure seamless integration.
• Write clean, maintainable, and well-structured code.
  

Required Skills And Experience

• 5+ years of backend development experience with Python.
• Strong proficiency in Flask or FastAPI.
• Hands-on expertise with SQLAlchemy ORM.
• In-depth understanding of OAuth 2.0, JWT, and RBAC.
• Experience with RESTful API design and implementation.
• Proficiency in PostgreSQL or other relational databases.
• Strong experience with Docker and containerized deployments.
• Knowledge of Git for version control.
• Strong problem-solving and debugging skills with attention to detail.
• Excellent communication and teamwork skills.
  

Preferred Qualifications

• Experience working with LLMs, NLP, or machine learning technologies.
• Familiarity with vector databases (e.g., Qdrant, Chroma, Faiss).
• Exposure to Azure or AWS cloud platforms.
• Experience with microservices architecture.
• Understanding of Jinja2 templating engine and API documentation tools (Swagger).
  

Technology Stack

• Language: Python 3.x
• Frameworks: Flask / FastAPI
• ORM: SQLAlchemy
• Authentication: OAuth 2.0, JWT
• API: RESTful, Swagger
• Databases: PostgreSQL, Vector DBs (Qdrant/Chroma/Faiss)
• Version Control: Git
• Containerization: Docker.