Job
Description
As a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud, you will be responsible for developing and maintaining LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Your key responsibilities will include: - Developing and maintaining LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. - Integrating LLM apps with foundational models using multiple techniques and methods. - Designing and developing Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models. - Leveraging external data and content sources to ground LLM outputs. - Designing and implementing Integrations and APIs to augment the LLM. - Collaborating with cross-functional teams to understand business requirements and deliver solutions that meet their needs. - Staying up to date with the latest advancements in LLM technology and cloud platforms. Required Skills: - Strong proficiency in Python programming language. - Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration. - Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries. - Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps. - Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations. - Experience with building conversational virtual assistants and chatbots. - Understanding of API integration and data workflows. - Experience with at least one LLM framework: Langchain, Llamaindex, or other. - In-depth knowledge of LLM models and their applications. - Advanced LLM/AI Development skills. - Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud. - Experience with Azure Function Apps or AWS Lamba functions. - Experience with Azure or AWS cloud platforms. - Excellent problem-solving and analytical skills. - Strong communication and teamwork abilities. Preferred Skills: - Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows. - Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. - Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). - Knowledge of building cloud services and cloud back-end integrations using Serverless models. - Familiarity with data extraction and transformation techniques. - Experience with natural language processing (NLP) tasks. Qualifications: - Bachelors 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: Permanent As a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud, you will be responsible for developing and maintaining LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Your key responsibilities will include: - Developing and maintaining LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. - Integrating LLM apps with foundational models using multiple techniques and methods. - Designing and developing Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models. - Leveraging external data and content sources to ground LLM outputs. - Designing and implementing Integrations and APIs to augment the LLM. - Collaborating with cross-functional teams to understand business requirements and deliver solutions that meet their needs. - Staying up to date with the latest advancements in LLM technology and cloud platforms. Required Skills: - Strong proficiency in Python programming language. - Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration. - Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries. - Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps. - Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations. - Experience with building conversational virtual assistants and chatbots. - Understanding of API integration and data workflows. - Experience with at least one LLM framework: Langchain, Llamaindex, or other. - In-depth knowledge of LLM models and their applications. - Advanced LLM/AI Development skills. - Experience with Agentic Architectures and AI Agents, and ability to create
