LLM Developer

As a Mid-Level LLM Application Developer at Dentsu Creative, you will be responsible for designing and developing intelligent applications using Azure OpenAI, Python, and LLM frameworks. Your role will involve collaborating with cross-functional teams to implement innovative AI solutions and create scalable solutions such as chatbots, knowledge assistants, and RAG-based systems. Responsibilities: - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Construct end-to-end Retrieval-Augmented Generation (RAG) pipelines with vector databases and semantic search tools. - Develop conversational agents and virtual assistants with frameworks like LangChain or LlamaIndex. - Create effective prompts through advanced prompt engineering techniques. - Integrate LLMs with external tools, APIs, and business data systems. - Apply Agentic AI patterns to RAG and AI Workflows 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): - 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. - Deep experience in prompt engineering and various prompting strategies. - Hands-on experience building RAG pipelines with vector databases. - Proven experience developing chatbots or virtual assistants using LLMs. - Proficiency in at least one LLM application framework. - In-depth understanding of LLM models, their capabilities, and applications. - Good understanding of LLM evaluations and integrating with AI Agents. - 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 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. - Strong understanding of software development methodologies. Location: DGS India - Pune - Kharadi EON Free Zone Time Type: Full time Contract Type: Permanent,