Sr. LLM Developer

Job Description We are looking for a Mid-Level LLM Application Developer with 35 years of experience in software development, who is passionate about building intelligent applications using Azure OpenAI, Python, and LLM frameworks. This is a full-time role focused on designing, developing, and deploying scalable LLM-powered solutions, including chatbots, knowledge assistants, and RAG-based systems. You'll be working closely with cross-functional teams to bring innovative AI solutions to life, leveraging the latest in generative AI and agentic technologies. 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). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant#DGS