Agentic Engineer Level

📋 Description

• Design, develop, and refine high-quality prompts for LLM-based agents, with a focus on reliable
• Build and scale agentic tools and workflows using a no-code automation platform comparable to
• Integrate internal and external REST APIs, managing authentication, data mapping, webhooks, JSON
• Develop production-ready agent workflows with appropriate unit testing, debugging, troubleshooting
• Apply resilient engineering patterns such as retries, timeouts, idempotency, lazy loading, and
• Optimize agent workflows for performance, scalability, cost efficiency, reliability, and fault

🎯 Requirements

• 4–7 years of professional experience as a Software Development Engineer, Software Engineer, or in a
• Strong software engineering fundamentals and the ability to translate technical requirements into
• Solid understanding of prompt engineering and LLM behavior, including the ability to design prompts
• Hands-on experience working with REST APIs, webhooks, JSON-based integrations, authentication, and
• Strong experience with unit testing, debugging, troubleshooting, and identifying root causes of
• Understanding of resilient system design and engineering patterns, including retries, timeouts

🎁 Benefits

• Opportunity to work at the forefront of agentic AI and enterprise automation.
• Exposure to LLM-based applications, API integrations, workflow orchestration, and AI-powered
• Opportunity to build and scale production-grade AI agents used to automate complex business
• Fast-paced, technology-focused environment with cross-functional collaboration across Product, QA