Job Summary
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.
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.
Nice to Have (Red Hat-Based Products & AI Model Serving):
- 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
