AI Backend Engineer - Python, FastAPI, LLM

Full Description

Requirements:

• Bachelors degree in Computer Science, Artificial Intelligence.

• 4-6 years of experience in backend engineering, AI/ML engineering, or related roles.

• Strong expertise in Python, FastAPI, and backend API development.

• Hands-on experience with PyTorch, TensorFlow, PyTorch Lightning, and ML model deployment.

• Proficiency in LLM integration, prompt engineering, NLP, and computer vision.

• Strong SQL skills with experience in PostgreSQL and distributed data systems.

• Experience with Databricks and PySpark for large-scale data processing.

• Proficiency with AWS (S3, EC2), Docker, Linux, and CI/CD pipelines.

• Familiarity with Git, Redis, Hugging Face, OpenPose, and LiveKit.

• Strong analytical, debugging, and communication skills.

Responsibilities:

• Develop and maintain backend services and APIs using Python and FastAPI.

• Integrate LLMs (OpenAI, Anthropic APIs), perform prompt engineering, and build AI-driven workflows.

• Implement and optimize machine learning pipelines using PyTorch, TensorFlow, PyTorch Lightning.

• Work on computer vision, NLP, and model fine-tuning tasks.

• Build and manage distributed data processing workflows using PySpark and Databricks.

• Design, manage, and optimize SQL/PostgreSQL databases.

• Deploy and manage cloud services using AWS (S3, EC2) and Docker containers.

• Implement CI/CD pipelines using GitHub Actions or GitLab.

• Work with tools such as Git, Redis, Hugging Face, OpenPose, and LiveKit.

• Collaborate with cross-functional teams and ensure high-quality documentation.