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5-8 years
DigiHelic Solutions - Python Developer - AI/ML (5-8 yrs)
DigiHelic
posted 3+ weeks ago
Flexible timing
Key skills for the job
Job Title : Python Developer (AI-Based Applications)
Location : Mumbai, Gurgaon
Job Summary :
The ideal candidate should possess strong proficiency in AI application development, Retrieval-Augmented Generation (RAG) workflows, and embedding models.
Previous experience working with Large Language Models (LLMs), such as Llama or Granite, is essential, as well as a solid understanding of pre- and post-processing techniques for RAG workflows.
This is a 100% onsite position, requiring close collaboration with key application developers and architects to ensure seamless integration and deployment of AI-powered applications within enterprise environments.
Key Responsibilities :
- Implement RAG (Retrieval-Augmented Generation) workflows, including pre- and post-processing techniques to optimize performance.
- Work with embedding models to enhance document retrieval and ranking.
- Build and optimize APIs using FAST API for high-performance interactions.
- Develop and optimize prompt engineering techniques for both text and images to improve LLM outputs.
- Deploy and manage containerized applications using Docker, OpenShift, or Kubernetes.
- Work with vector databases on Azure for AI-driven search and retrieval solutions.
- Integrate and manage OIDC-based authentication for secure application access.
- Optimize application performance, scalability, and security in cloud environments.
- Utilize Kafka and event-driven programming for real-time data processing and handling.
- Collaborate with key application developers and architects to align AI development with enterprise system requirements.
Requirements :
- Hands-on experience in building AI-based applications using modern frameworks.
- Prior experience with LLMs such as Llama or Granite.
- Strong experience with LlamaIndex or LangChain to implement AI-driven workflows.
- Deep understanding of RAG workflows, including pre- and post-processing techniques.
- Expertise in embedding models for document retrieval and ranking.
- Strong experience in prompt engineering for both text and images.
- Proficiency in using FAST API for building high-performance APIs.
- Knowledge of Docker, OpenShift, or Kubernetes for container orchestration and deployment.
- Familiarity with vector databases on Azure, including tools like Azure Cosmos DB, FAISS, or Chroma.
- Experience with OIDC authentication frameworks and security best practices for application access control.
- Understanding of Kafka and event-driven programming for real-time data processing.
- 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 the ability to work in a collaborative, onsite environment.
Nice to Have (Red Hat-Based Products & AI Model Serving) :
- Familiarity with 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.
Functional Areas: Software/Testing/Networking
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