Python Gen AI Engineer

Overview

We are seeking a highly skilled Python Developer with a minimum of 5 years of development experience and hands-on experience building AI-based applications. The ideal candidate should have strong expertise in AI application development, Retrieval-Augmented Generation (RAG) workflows, and embedding models. Prior experience working with Large Language Models (LLMs) such as Llama or Granite is essential, along with proficiency in pre- and post-processing of RAG workflows.

This is a 100% onsite opportunity as the developer will be required to collaborate closely with key application developers and architects, ensuring seamless integration and deployment of AI-powered applications within enterprise environments.

Key Responsibilities

• Develop AI-powered applications leveraging LlamaIndex or LangChain.
• Implement RAG (Retrieval-Augmented Generation) workflows, including pre- and post-processing techniques.
• Work with embedding models to optimize document retrieval and ranking.
• Build and optimize APIs using FAST API.
• Develop prompt engineering techniques for both text and images to optimize LLM outputs.
• Deploy and manage containerized applications using Docker, OpenShift, or Kubernetes.
• Work with vector databases on Azure for AI-driven search and retrieval.
• Integrate and manage OIDC-based authentication for secure application access.
• Optimize application performance, scalability, and security in cloud environments.
• Understand Kafka and event-driven programming for real-time data processing.
• Collaborate with key application developers and architects to align AI development with enterprise system requirements.
  
  

• 3-5 years of development experience in Python and software engineering.
• Hands-on experience building AI-based applications using modern frameworks.
• Prior experience working with LLMs such as Llama or Granite.
• Hands-on experience with LlamaIndex or LangChain for AI-driven workflows.
• Deep understanding of RAG (Retrieval-Augmented Generation) workflows, including pre- and post-processing techniques.
• Proficiency in embedding models for search and ranking.
• Strong prompt engineering experience for text and images.
• Experience in FAST API for building high-performance APIs.
• Good understanding of Docker, OpenShift, or Kubernetes for container orchestration.
• Familiarity with vector databases on Azure (e.g., Azure Cosmos DB, FAISS, Chroma).
• Experience with OIDC authentication frameworks and security best practices.
• Understanding of Kafka and event-driven programming.
• Working knowledge of NoSQL databases and MS SQL.
• Basic understanding of Kotlin and React to collaborate effectively with frontend and mobile teams.
• Strong problem-solving skills and ability to work in a collaborative, onsite environment.
  
  

• Experience with Red Hat OpenShift Service Mesh.
• Knowledge of Red Hat Quay for container registry management.
• Experience with model serving using OpenShift AI and vLLM.
• Knowledge of pipeline automation using KubeFlow Pipelines and Elyra.Role & responsibilities