Senior Lead Engineer

Role Overview:

Key Responsibilities:

• Collaborate with senior engineers, architects, and business analysts to translate business needs into practical agentic AI workflows and interfaces.
• Design and prototype autonomous AI agents for select use cases (e.g., sprint tracking, code review assistants, smart QA orchestration).
• Implement agentic workflows and integrate LLMs, multi-agent frameworks (LangChain, CrewAI, Windsurf, AutoGen, etc.), and enterprise knowledge platforms (e.g., Glean, Copilot).
• Build, test, and document agentic UI components and user experiences for business and technical stakeholders.
• Support deployment, maintenance, and optimization of agentic AI solutions across services (including integration with project management tools, APIs, and cloud platforms).
• Stay up to date with agentic AI trends, new toolkits, and patterns through technical research and experimentation.
• Assist in developing best practices and reusable components for Agentic AI implementations.
  

Skills & Experience Required:

• 6–8 years in software engineering, AI/ML, automation, or related domains (with recent hands-on experience in agentic AI, multi-agent systems, or intelligent workflow solutions preferred).
• Working knowledge of agentic AI development platforms (e.g., Windsurf, LangChain, AutoGen, CrewAI, Glean, or similar).
• Experience implementing, testing, and maintaining Python-based agent scripts and workflows.
• Exposure to LLM APIs (OpenAI, Google Vertex AI, etc.), knowledge management, and enterprise automation platforms.
• Proficiency with modern APIs, workflow orchestration, and basic front-end frameworks (React/Vue is a plus).
• Ability to document solutions and communicate technical concepts to both technical and business audiences.
• Strong problem-solving, teamwork, and continuous learning orientation.
  

Preferred Qualifications:

• Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field.
• Experience with workflow automation for project management, development, or QA/testing in enterprise environments.
• Participation in open-source agentic AI projects, hackathons, or published work in AI/automation a plus.