Description

Build and maintain LLM-based applications, data pipelines, and REST APIs.

This role is on-site.

Responsibilities

• Build and maintain REST endpoints using FastAPI for application integration and data access.
• Refine prompts and write agentic code, including debugging agent self-reflection loops.
• Optimize LLM inference parameters and select appropriate context for model window sizes.
• Write and optimize SQL queries for LLM context retrieval and data access.
• Develop comprehensive unit and integration tests for LLM implementations and ensure code compliance.

Required Skills

• 6+ years of total experience, with 3+ years as a Data Scientist or ML Engineer.
• Proficiency in Python, Machine Learning, Deep Learning, and Natural Language Processing.
• Hands-on experience with LangChain, PyTorch, and FastAPI.
• Strong SQL skills for data manipulation and context retrieval.
• End-to-end data pipeline experience: cleaning, preprocessing, feature engineering, model training, and production deployment.
• Experience with LLM inference parameter adjustment and prompt engineering.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate