Sr. Full-Stack AI Engineer

Overview

At AI Planet, our larger vision is to make AI accessible to everyone. With our flagship platform and solutions, we enable enterprises to adopt GenAI & Agentic solutions to automate complex workflows, save costs, reduce turn around times and boost overall enterprise efficiency. As we continue to make an impact, we are looking forward to welcoming our new colleagues, who can join the forces to make an impact to the next billion people or the next 10k+ organizations.

Key Responsibilities:

• Design, develop, and maintain scalable end-to-end agentic/GenAI/AI full-stack applications.
• Develop robust backend services, APIs, and microservices.
• Write clean, maintainable, and well-tested code following best practices.
• Participate in system design discussions and architecture decisions.
• Debug, troubleshoot, and optimize application performance.
• Contribute across the complete software engineering and AI lifecycle, including: Requirement analysis, System design, Development, Testing, Deployment and Monitoring & maintenance
• Build reliable GenAI or LLM-powered applications end to end.
• Manage data ingestion and maintain database integrity
• Building agents from scratch and understanding of Multi-Agent architecture is a must.
• Keep abreast of the latest advancements in LLMs and Agentic AI.

Technical Acumen:

• Must have strong programming skills, particularly in Python.
• Understanding of REST APIs and microservices architecture.
• Strong foundations of backend knowledge (REST APIs, databases).
• Knowledge of LLM frameworks such as Langchain, LlamaIndex, OpenAGI, CrewAI, and AutoGen.
• Knowledge of Data Engineering Practices: Skills in data preprocessing, cleaning, transformation, etc.
• Should be familiar with Agents, RAG (retrieval augmented generation), COT prompting techniques, etc
• Strong analytical skills to troubleshoot and solve complex problems that arise in AI application development.
• Understanding how AI features integrate into user-facing products.