Full-stack Engineer

• Design, build, and maintain robust, scalable autonomous AI agents for conversational sales that can guide the user to conversational finish a sales including cart/checkout and payments.
• Identify and implement the best architectures to develop AI agents such that they are reusable.
• Implement MCP tools to enable bi-directional communication with other systems.
• Implement, refine, and optimize LLM prompts to avoid hallucination and to deliver expected outcomes.
• Apply security guardrails surrounding LLMs to protect sensitive data and ensure compliance with privacy and legal guidelines.
• Implement logging and monitoring for the agents.
• Design evaluation tests to validate the agents’ outcomes.
• Design and implement low-latency, minimal-hop, reusable agentic solutions.
• Explore optimal methods to improve conversational sales solutions by grounding responses and minimizing errors.
• Design and implement security guardrails while interacting with LLM’s or with other agents to follow industry standard security guidelines; including data governance frameworks and federated learning.
• Collaborate with product managers, UX designers, and other engineers to translate requirements into technical solutions.
• Continuously monitor, evaluate, and improve AI performance, focusing on user engagement, personalization, and task completion.
• Contribute to research and development efforts to stay ahead of emerging trends in agentic AI and conversational technologies.
• Always ensure compliance with ethical standards, data privacy, and responsible AI practices throughout the development process.

Principal Software Engineer – Applied AI Development

Software Engineer – Technical Lead

Lead Software Engineer, Full-Stack

Software Engineer III

Software Engineer II

Senior Software Engineer