Agentic AI Developer

We are seeking a highly skilled Agentic AI Developer to join our advanced AI engineering team at a leading food delivery company. This role is pivotal in enhancing our multi-agentic platform that enables users to generate diverse chart types by querying the data layer using natural English language. The ideal candidate will be instrumental in designing, developing, and optimizing agent-based systems that interact seamlessly with data services and visualization tools.
You will work closely with product managers, data scientists, and platform engineers to build intelligent agents capable of understanding user intent, orchestrating tasks across multiple services, and delivering accurate, visually compelling insights.
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Key Responsibilities:
• Design and implement agentic workflows using frameworks such as LangChain, CrewAI, Google's Agent Development Kit, and Autogen.
• Develop Python-based modules to support agent communication, orchestration, and task execution.
• Integrate natural language interfaces with backend data layers to enable conversational chart generation.
• Collaborate with data visualization teams to support dynamic chart rendering based on agent outputs.
• Optimize agent performance, reliability, and scalability across various use cases.
• Conduct prompt engineering and fine-tuning to improve agent understanding and response accuracy.
• Stay current with advancements in multi-agent systems and contribute to platform innovation.
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Mandatory Skills and Skill Proficiencies Required for This Position:
• Python Development – Advanced proficiency in Python for building scalable, modular AI systems.
• Multi-Agent Frameworks – Strong hands-on experience with LangChain, CrewAI, Google's Agent Development Kit, and Autogen. Ability to architect and deploy agentic solutions in production environments.
• Prompt Engineering – Experience crafting and refining prompts for agentic systems to improve output quality.
• API Integration – Ability to connect agents with external APIs and services for data retrieval and processing.
• SQL - Good SQL knowledge to inteact with Data lakes, Data warehouse
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Optional Skills and Skill Proficiencies for This Position:
• Natural Language Processing (NLP) – Intermediate to advanced understanding of NLP techniques for intent recognition and query parsing.
• Data Visualization – Familiarity with charting libraries (e.g., Plotly, D3.js, Matplotlib) and visualization best practices