Generative AI Engineer

Generative AI Engineer (Python)

Experience Level:

Location:

Job Summary

Generative AI Engineer

Key Responsibilities

Generative AI Development

• Build and implement generative AI models using frameworks such as

  LangChain

  or

  Llama-Index

  .
• Apply

  prompt engineering

  to design high-quality prompts and ensure optimal LLM outputs across diverse workflows.
• Utilize advanced LLM capabilities including

  prompt optimization

  ,

  hyperparameter tuning

  , and

  response caching

  .
• Develop

  RAG (Retrieval-Augmented Generation)

  systems using vector databases like

  Pinecone

  ,

  Weaviate

  ,

  Supabase

  , or

  PGVector

  .
• Work with

  embeddings

  and develop solutions using similarity search for personalized or domain-specific responses.
• Process multimodal data involving

  text, images, and video

  , including understanding, generation, and retrieval tasks.
• Integrate

  observability and monitoring tools

  to measure and optimize LLM performance and reliability.

Backend Engineering

• Design and maintain scalable backend architectures using

  FastAPI

  ,

  Django

  , or

  Flask

  .
• Build efficient

  RESTful APIs

  for smooth communication between services and applications.
• Optimize relational database systems (PostgreSQL, MySQL) and integrate vector databases for AI-centric workflows.
• Implement

  asynchronous programming

  for handling concurrent operations efficiently.
• Write clean, maintainable, and testable code adhering to modern engineering standards.
• Integrate third-party APIs, SDKs, and external services seamlessly.
• Build backend pipelines to support text, image, and video processing tasks.
• Manage scheduled and background tasks using

  Celery

  ,

  cron jobs

  , or similar job queues.
• Utilize

  Docker

  for reproducible, containerized deployments.
• Ensure scalability, security, and performance of backend systems following industry best practices.

Mayur Batham

9685308585