Senior Engineer - Agentic AI

AstraZeneca India Pvt. Ltd

5 - 7 years

25 - 30 Lacs

Chennai

Posted:9 months ago| Platform:

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Skills Required

orchestration Enterprise applications Machine learning Javascript microsoft azure HTML Solution Architect Python Recruitment MAR

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Job Type

Full Time

Job Description

Design, develop, and deploy AI agents capable of autonomous decision-making and action execution
Leverage LLMs and multi-agent frameworks to create intelligent, interactive AI systems
Optimize and finetune LLMs for agent-based architectures, ensuring high efficiency and accuracy
Integrate AI agents with external systems, APIs, databases, and enterprise applications
Implement techniques for long-term memory, context retention, and planning within AI agents
Develop and enhance Conversational-AI models, including chatbots and virtual assistants, using Azure Cognitive Services, Azure Bot Service, and Azure OpenAI
Design and implement intent recognition, dialogue management, and natural language understanding (NLU) components
Ensure scalability, security, and compliance of AI solutions
Stay up-to-date with the latest advancements in autonomous AI, reinforcement learning, multi-agent coordination, and conversational AI technologies

Essential Skills/Experience:

5+ years of experience in AI/ML/NLP development with a strong focus on autonomous AI agents and conversational AI
3+ years of experience using LLMs to build Conversational AI applications or AI Agent based solutions
Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, AutoGPT, OpenAI API)
Experience with multi-agent architectures and frameworks
Strong understanding of reinforcement learning, prompt engineering, and fine-tuning of LLMs
Hands-on experience integrating AI agents and conversational models with APIs, databases, and cloud/collaboration platforms specifically SharePoint, Teams, etc.
Experience in developing web applications using HTML, CSS, JavaScript, React, or Angular
Expertise in Azure AI and ML services, including Azure Machine Learning, Azure Cognitive Services, and Azure Bot Framework
Proven understanding of vector databases, knowledge graphs, and Retrieval Augmented Generation (RAG)
Expertise in NLP and conversational AI frameworks such as Rasa, Dialogflow, or LUIS, MS Bot Framework
Excellent problem-solving skills and ability to conduct thought experiments around AI agent behaviours

Desirable Skills/Experience:

Experience with reasoning and planning frameworks like ReAct (Reasoning + Acting) or Chain-of-thought prompting
Knowledge of tools and techniques for memory and persistence in AI agents
Familiarity with observability, security, and ethical considerations in autonomous AI and Conversational-AI systems
Contributions to opensource AI agent and chatbot projects
Microsoft Azure certifications such as Azure AI Engineer Associate or Azure Solutions Architect

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