Sr. LLM Developer

Job Description:

Responsibilities:

• Design and develop LLM-powered applications using Python and Azure OpenAI services.
• Extend digital products and platforms, and LLM Apps , with new capabilities
• Support adoption of digital platforms and LLM Apps, by onboarding new clients
• Driving automation to expedite and accelerate new client adoption
• 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, GPT Model family, and integration.
• Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure AI Search).
• Deep understanding of vector databases and hybrid search capabilities built on top of Azure AI Search
• Deep experience in prompt engineering, including various prompting strategies (few-shot, chain-of-thought, etc.).
• Hands-on experience and deep expertise in 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 (preferably., LangChain,).
• In-depth understanding of LLM models, their capabilities, and applications.
• Good understanding of LLM evaluations, and how to evaluate LLM model outputs.
• Experience deploying with Azure Function Apps and broader Azure ecosystem.
• Solid grasp of API integrations and data workflow design.
• Solid experience building automation workflows and automation solutions for LLM Apps and Products, to support new client onboarding
• Solid experience with data and content indexing pipelines to setup new “knowledge bases” for RAG and LLM solutions
• Strong problem-solving skills and ability to deliver scalable, efficient code.
• Excellent communication and team collaboration abilities.

Preferred Skills (Good to Have):

• Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs
• 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.
• Strong understanding of software development methodologies (e.g., Agile).

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