Sr. LLM Developer - Pune - Merkle BB

    Merkle BB
    Merkle BB Pune

    2 days ago

    Full time
    Description

    Responsibilities:

    • Design and develop LLM-powered applications using Python and Azure OpenAI services.
    • Build end-to-end Retrieval-Augmented Generation (RAG) pipelines, integrating vector databases, semantic search and other related tools.
    • Develop conversational agents and virtual assistants, using frameworks like LangChain or LlamaIndex.
    • Craft effective prompts using advanced prompt engineering and prompt design techniques.
    • Integrate LLMs with external tools, APIs, and business data systems.
    • Apply Agentic AI patterns to RAG and AI Workflows, interacting with LLMs by orchestrating various agents together
    • Deploy and manage applications using Azure Functions, Azure AI services, and serverless components.
    • Ensure performance, scalability, and reliability of AI solutions on Azure.
    • Collaborate across teams and participate in agile development processes.

    Required Skills (Must Have):

    • Strong proficiency in Python programming language.
    • Expertise in Azure OpenAI Service, including foundation model usage and integration.
    • Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure ML, Azure AI Search).
    • Deep experience in prompt engineering, including various prompting strategies (few-shot, chain-of-thought, etc.).
    • Hands-on experience building RAG pipelines with vector databases and tool integrations.
    • Proven experience developing chatbots or virtual assistants using LLMs.
    • Proficiency in at least one LLM application framework (e.g., LangChain, LlamaIndex).
    • In-depth understanding of LLM models, their capabilities, and applications.
    • Good understanding of LLM evaluations, and how to evaluate LLM model outputs.
    • Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs
    • Experience deploying with Azure Function Apps and broader Azure ecosystem.
    • Solid grasp of API integrations and data workflow design.
    • Strong problem-solving skills and ability to deliver scalable, efficient code.
    • Excellent communication and team collaboration abilities.

    Preferred Skills (Good to Have):

    • Familiarity with Multi- Agent AI orchestration and agentic workflows.
    • Experience building cloud-native services with serverless architectures.
    • Understanding of NLP techniques and data transformation pipelines.
    • Familiarity with LLMOps concepts and AI model lifecycle.

    Qualifications:

    • Bachelor s degree in computer science, Computer Engineering, or a related field.
    • 3+ years of experience in software development.
    • Experience with LLM applications and cloud platforms.

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