GEN AI Developer

Role Overview

We are looking for a GEN AI Developer with 4-6 years of experience to build and productionize advanced Generative AI applications. The ideal candidate will have expertise in building scalable GenAI solutions, fine-tuning models, and implementing robust LLMOps pipelines.

Responsibilities

• Build GenAI applications from scratch using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
• Develop high-quality, efficient, and maintainable Python code.
• Design architectures for handling large-scale structured and unstructured data.
• Develop Multi-Modal LLM applications involving text, vision, and speech.
• Fine-tune SLMs and LLMs using techniques such as PEFT, QLoRA, and LoRA.
• Implement user interfaces using React, Streamlit, and AG Grid.
• Set up and manage LLMOps pipelines for continuous integration and deployment.
• Ensure ethical and responsible AI practices are embedded in the development process.

Requirements

• Deep expertise in Python programming.
• Experience in productionizing GenAI applications beyond PoCs using tools like Pylint and Pyrit.
• Proficiency in RAG and Modular RAG architectures.
• Extensive experience with at least two cloud platforms: Azure, GCP, or AWS.
• Knowledge of prompt injection fallback and anti-hallucination tools.
• Experience with OCR and document intelligence.
• Strong understanding of API integration (REST, SOAP).