Description

Lead the engineering team in transitioning from manual script maintenance to an AI-driven generation model. Design and build an Agentic Platform that utilizes specialized LLM agents to handle distinct phases of the STLC.

This role is on-site.

Responsibilities

• Design and build an Agentic Platform utilizing specialized LLM agents for STLC phases.
• Develop and fine-tune agents for requirements analysis, test scenario derivation, and Playwright script generation.
• Build the "connected intelligence layer" by integrating the AI platform with Jira and ALM tools.
• Lead the engineering team through a technology shift toward AI-driven automation and maintenance.
• Transition existing automation frameworks into an AI-first ecosystem compatible with MCP servers.

Required Skills

• Proven experience building Agentic Workflows and multi-agent orchestration (LangGraph, AutoGen, or CrewAI).
• Expert-level proficiency in Playwright and modern TypeScript/JavaScript testing ecosystems.
• Deep understanding of integrating LLMs into production, including RAG frameworks.
• Strong experience with Jira API integrations and Application Lifecycle Management (ALM) software.
• Experience with MCP (Model Context Protocol) and AI-native IDEs like Cursor.
• 5+ years of experience in software engineering or AI/ML engineering.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience building custom AI tools for user story review or static analysis on requirements.
• Background in migrating legacy testing frameworks to modern, AI-augmented architectures.

Key Skills

Education

Bachelor's degree